renamed optimisation seed to AE

pbt/atari_battle_zone_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,1000000.0,3882.8125,0.95341944,32,0.06225079,0.0006144,False,1.0,5.421e-05,20971,0.0010143,1694,0,0
 0,1000000.0,3109.375,0.95341944,32,0.06225079,0.0006144,False,1.0,5.421e-05,20971,0.0010143,1694,0,1
 0,1000000.0,2406.25,0.95341944,32,0.06225079,0.0006144,False,1.0,5.421e-05,20971,0.0010143,1694,0,2

pbt/atari_battle_zone_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,1000000.0,1726.5625,0.5,0.11235735,0.8,0.00013384,0.38748105,128,True,0.29386995,0.1220408,0,0
 0,1000000.0,0.0,0.5,0.11235735,0.8,0.00013384,0.38748105,128,True,0.29386995,0.1220408,0,1
 0,1000000.0,2039.0625,0.5,0.11235735,0.8,0.00013384,0.38748105,128,True,0.29386995,0.1220408,0,2

pbt/atari_double_dunk_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,1000000.0,-3.09375,0.66014903,32,0.19107678,4.84e-06,True,0.6584853,0.00123997,16776,0.10379775,1366,0,0
 0,1000000.0,-1.9375,0.66014903,32,0.19107678,4.84e-06,True,0.6584853,0.00123997,16776,0.10379775,1366,0,1
 0,1000000.0,-1.390625,0.66014903,32,0.19107678,4.84e-06,True,0.6584853,0.00123997,16776,0.10379775,1366,0,2

pbt/atari_double_dunk_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,1000000.0,-1.34375,0.24335983,0.21313738,0.8,0.01783196,1.0,128,False,0.03626428,0.63404167,0,0
 0,1000000.0,-1.296875,0.24335983,0.21313738,0.8,0.01783196,1.0,128,False,0.03626428,0.63404167,0,1
 0,1000000.0,-1.265625,0.24335983,0.21313738,0.8,0.01783196,1.0,128,False,0.03626428,0.63404167,0,2

pbt/atari_phoenix_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,1000000.0,150.15625,0.60766318,16,0.13426006,4.174e-05,True,0.5881503,0.00546106,11041,0.03906853,1615,0,0
 0,1000000.0,671.875,0.60766318,16,0.13426006,4.174e-05,True,0.5881503,0.00546106,11041,0.03906853,1615,0,1
 0,1000000.0,1850.1562,0.60766318,16,0.13426006,4.174e-05,True,0.5881503,0.00546106,11041,0.03906853,1615,0,2

pbt/atari_phoenix_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,1000000.0,17.34375,0.3637892,0.40742703,0.84861673,8.712e-05,0.28961962,128,True,0.37533081,0.1220408,0,0
 0,1000000.0,68.90625,0.3637892,0.40742703,0.84861673,8.712e-05,0.28961962,128,True,0.37533081,0.1220408,0,1
 0,1000000.0,17.03125,0.3637892,0.40742703,0.84861673,8.712e-05,0.28961962,128,True,0.37533081,0.1220408,0,2

pbt/atari_qbert_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,1000000.0,183.20312,0.31482722,64,0.08269579,5.54e-06,True,0.8,0.00047298,29312,0.10989374,1401,0,0
 0,1000000.0,366.79688,0.31482722,64,0.08269579,5.54e-06,True,0.8,0.00047298,29312,0.10989374,1401,0,1
 0,1000000.0,357.6172,0.31482722,64,0.08269579,5.54e-06,True,0.8,0.00047298,29312,0.10989374,1401,0,2

pbt/atari_qbert_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,1000000.0,250.0,0.22374377,0.25825186,0.9999,0.02066618,0.18472626,128,False,0.11394773,0.2599982,0,0
 0,1000000.0,150.0,0.22374377,0.25825186,0.9999,0.02066618,0.18472626,128,False,0.11394773,0.2599982,0,1
 0,1000000.0,125.0,0.22374377,0.25825186,0.9999,0.02066618,0.18472626,128,False,0.11394773,0.2599982,0,2

pbt/atari_this_game_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,1000000.0,1190.0,0.58604271,64,1.0,2.23e-06,True,0.71781665,1.276e-05,2834,0.08286203,393,0,0
 0,1000000.0,2848.75,0.58604271,64,1.0,2.23e-06,True,0.71781665,1.276e-05,2834,0.08286203,393,0,1
 0,1000000.0,687.1875,0.58604271,64,1.0,2.23e-06,True,0.71781665,1.276e-05,2834,0.08286203,393,0,2

pbt/atari_this_game_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,1000000.0,1671.4062,0.42273357,0.5,0.8,0.00037227,0.13345448,128,False,0.45689751,0.52558256,0,0
 0,1000000.0,1190.0,0.42273357,0.5,0.8,0.00037227,0.13345448,128,False,0.45689751,0.52558256,0,1
 0,1000000.0,1190.0,0.42273357,0.5,0.8,0.00037227,0.13345448,128,False,0.45689751,0.52558256,0,2

pbt/box2d_bipedal_walker_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,-112.178055,0.4,0.15629432,0.9999,3.54e-06,0.66153886,32,False,0.39766269,0.1830612,0,0
 0,100000.0,-105.105865,0.4,0.15629432,0.9999,3.54e-06,0.66153886,32,False,0.39766269,0.1830612,0,1
 0,100000.0,-105.02432,0.4,0.15629432,0.9999,3.54e-06,0.66153886,32,False,0.39766269,0.1830612,0,2

pbt/box2d_bipedal_walker_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,50000.0,-71.974,0.92881509,128,0.03646052,3.4e-06,True,0.00595943,8158,0.899881,1.0,0,0
 0,50000.0,-60.665806,0.92881509,128,0.03646052,3.4e-06,True,0.00595943,8158,0.899881,1.0,0,1
 0,50000.0,-91.88511,0.92881509,128,0.03646052,3.4e-06,True,0.00595943,8158,0.899881,1.0,0,2

pbt/box2d_continuous_lunar_lander_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,50000.0,-71.043106,0.15697523,512,0.06716268,0.0,True,0.00222106,5827,0.1414495,0.13081112,0,0
 0,50000.0,-94.37478,0.15697523,512,0.06716268,0.0,True,0.00222106,5827,0.1414495,0.13081112,0,1
 0,50000.0,-60.84674,0.15697523,512,0.06716268,0.0,True,0.00222106,5827,0.1414495,0.13081112,0,2

pbt/box2d_continuous_lunar_lander_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,-129.60963,0.5,0.39283068,0.9999,0.00016259,0.4307503,32,True,0.32696139,0.03616024,0,0
 0,100000.0,-121.242874,0.5,0.39283068,0.9999,0.00016259,0.4307503,32,True,0.32696139,0.03616024,0,1
 0,100000.0,-147.67696,0.5,0.39283068,0.9999,0.00016259,0.4307503,32,True,0.32696139,0.03616024,0,2

pbt/box2d_lunar_lander_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000.0,-934.001,0.48416601,128,0.22075479,4.7e-07,True,0.96260751,3.107e-05,309,0.03593162,85,0,0
 0,10000.0,-135.44778,0.48416601,128,0.22075479,4.7e-07,True,0.96260751,3.107e-05,309,0.03593162,85,0,1
 0,10000.0,-574.51,0.48416601,128,0.22075479,4.7e-07,True,0.96260751,3.107e-05,309,0.03593162,85,0,2

pbt/box2d_lunar_lander_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,-1279.7866,0.257241,0.5,0.96,0.01241208,0.27298435,128,False,0.06880644,0.25012654,0,0
 0,100000.0,-1328.438,0.257241,0.5,0.96,0.01241208,0.27298435,128,False,0.06880644,0.25012654,0,1
 0,100000.0,-889.0851,0.257241,0.5,0.96,0.01241208,0.27298435,128,False,0.06880644,0.25012654,0,2

pbt/brax_ant_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,5000000.0,803.2898,0.27492012,0.22179859,0.8,3.69e-06,0.60676823,512,False,0.12879964,1.0,0,0
 0,5000000.0,792.72046,0.27492012,0.22179859,0.8,3.69e-06,0.60676823,512,False,0.12879964,1.0,0,1
 0,5000000.0,793.7551,0.27492012,0.22179859,0.8,3.69e-06,0.60676823,512,False,0.12879964,1.0,0,2
@@ -4779,7 +4779,7 @@ config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_co
 312,5000000.0,869.34607,0.0308136,0.07629663,0.96632445,8.51e-06,0.57074758,2048,False,0.21852851,0.066914,2,1
 312,5000000.0,846.6233,0.0308136,0.07629663,0.96632445,8.51e-06,0.57074758,2048,False,0.21852851,0.066914,2,2
 313,5000000.0,-85287200000.0,0.4,0.21036505,0.8,0.03139313,0.54931202,512,False,0.26122322,0.19143894,2,0
-313,5000000.0,-462852849999.99994,0.4,0.21036505,0.8,0.03139313,0.54931202,512,False,0.26122322,0.19143894,2,1
+313,5000000.0,-462852850000.0,0.4,0.21036505,0.8,0.03139313,0.54931202,512,False,0.26122322,0.19143894,2,1
 313,5000000.0,-2113776900000.0,0.4,0.21036505,0.8,0.03139313,0.54931202,512,False,0.26122322,0.19143894,2,2
 314,5000000.0,613.2139,0.19273375,0.10435816,0.9999,0.00313181,0.68174609,1024,True,0.22100358,0.51497273,2,0
 314,5000000.0,612.6213,0.19273375,0.10435816,0.9999,0.00313181,0.68174609,1024,True,0.22100358,0.51497273,2,1

pbt/brax_ant_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,500000.0,1196.1884,0.04316852,1024,0.71014252,2.14e-06,True,0.0574599,16001,0.33867933,0.47412688,0,0
 0,500000.0,910.98846,0.04316852,1024,0.71014252,2.14e-06,True,0.0574599,16001,0.33867933,0.47412688,0,1
 0,500000.0,1059.6141,0.04316852,1024,0.71014252,2.14e-06,True,0.0574599,16001,0.33867933,0.47412688,0,2

pbt/brax_halfcheetah_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,5000000.0,-23.136217,0.03617094,0.34321766,0.98713368,7.08e-06,0.30779503,512,True,0.12097375,0.08062831,0,0
 0,5000000.0,-13.53289,0.03617094,0.34321766,0.98713368,7.08e-06,0.30779503,512,True,0.12097375,0.08062831,0,1
 0,5000000.0,0.0,0.03617094,0.34321766,0.98713368,7.08e-06,0.30779503,512,True,0.12097375,0.08062831,0,2
@@ -4258,7 +4258,7 @@ config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_co
 138,5000000.0,-3342083.0,0.15847298,0.25666171,0.85143905,1.33e-06,0.45341466,2048,False,0.07809893,0.70148433,2,2
 139,5000000.0,0.0,0.47087978,0.18528814,0.85955386,8.369e-05,0.53420299,2048,True,0.25902711,0.37789145,2,0
 139,5000000.0,-307165600000.0,0.47087978,0.18528814,0.85955386,8.369e-05,0.53420299,2048,True,0.25902711,0.37789145,2,1
-139,5000000.0,-448474249999.99994,0.47087978,0.18528814,0.85955386,8.369e-05,0.53420299,2048,True,0.25902711,0.37789145,2,2
+139,5000000.0,-448474250000.0,0.47087978,0.18528814,0.85955386,8.369e-05,0.53420299,2048,True,0.25902711,0.37789145,2,2
 140,5000000.0,2018.47,0.00355681,0.23054047,0.8,1.307e-05,0.98044596,1024,True,0.06940607,0.67366363,2,0
 140,5000000.0,2243.4995,0.00355681,0.23054047,0.8,1.307e-05,0.98044596,1024,True,0.06940607,0.67366363,2,1
 140,5000000.0,656.5852,0.00355681,0.23054047,0.8,1.307e-05,0.98044596,1024,True,0.06940607,0.67366363,2,2

pbt/brax_halfcheetah_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,500000.0,-360.1653,0.09406504,1024,0.30908568,0.0,False,0.00080506,14662,3.98089106,0.37235467,0,0
 0,500000.0,-322.7373,0.09406504,1024,0.30908568,0.0,False,0.00080506,14662,3.98089106,0.37235467,0,1
 0,500000.0,-203.57526,0.09406504,1024,0.30908568,0.0,False,0.00080506,14662,3.98089106,0.37235467,0,2

pbt/brax_hopper_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,5000000.0,164.05258,0.02696158,0.11439059,0.8,1.49e-06,0.42857774,512,False,0.15321404,0.05424036,0,0
 0,5000000.0,163.8261,0.02696158,0.11439059,0.8,1.49e-06,0.42857774,512,False,0.15321404,0.05424036,0,1
 0,5000000.0,166.16873,0.02696158,0.11439059,0.8,1.49e-06,0.42857774,512,False,0.15321404,0.05424036,0,2

pbt/brax_hopper_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,500000.0,183.16187,0.05227476,1024,0.05160465,3e-08,False,9.16e-06,6710,1.51660417,0.93522352,0,0
 0,500000.0,265.7928,0.05227476,1024,0.05160465,3e-08,False,9.16e-06,6710,1.51660417,0.93522352,0,1
 0,500000.0,1039.4955,0.05227476,1024,0.05160465,3e-08,False,9.16e-06,6710,1.51660417,0.93522352,0,2

pbt/brax_humanoid_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,5000000.0,468.30487,0.12850935,0.18595683,0.96,7.616e-05,0.25945022,512,False,0.29855497,0.03195657,0,0
 0,5000000.0,281.037,0.12850935,0.18595683,0.96,7.616e-05,0.25945022,512,False,0.29855497,0.03195657,0,1
 0,5000000.0,429.92194,0.12850935,0.18595683,0.96,7.616e-05,0.25945022,512,False,0.29855497,0.03195657,0,2
@@ -1925,7 +1925,7 @@ config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_co
 1,5000000.0,481.9554,0.12081741,0.45305226,0.9999,1.62e-06,0.35008763,2048,False,0.4,0.41695102,4,0
 1,5000000.0,293.88055,0.12081741,0.45305226,0.9999,1.62e-06,0.35008763,2048,False,0.4,0.41695102,4,1
 1,5000000.0,406.5248,0.12081741,0.45305226,0.9999,1.62e-06,0.35008763,2048,False,0.4,0.41695102,4,2
-2,5000000.0,-471430529999.99994,0.03605497,0.39284892,0.8,0.00020577,1.0,1024,True,0.27275064,0.1089614,4,0
+2,5000000.0,-471430530000.0,0.03605497,0.39284892,0.8,0.00020577,1.0,1024,True,0.27275064,0.1089614,4,0
 2,5000000.0,-212219950000.0,0.03605497,0.39284892,0.8,0.00020577,1.0,1024,True,0.27275064,0.1089614,4,1
 2,5000000.0,-49229690.0,0.03605497,0.39284892,0.8,0.00020577,1.0,1024,True,0.27275064,0.1089614,4,2
 3,5000000.0,176.21164,0.30354728,0.25260918,0.96,3.14e-06,1.0,512,True,0.5,0.62148763,4,0

pbt/brax_humanoid_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,500000.0,394.69815,0.70639257,2048,0.66543099,1.3e-07,False,1.43e-05,1878,0.1,0.47958337,0,0
 0,500000.0,1271.1647,0.70639257,2048,0.66543099,1.3e-07,False,1.43e-05,1878,0.1,0.47958337,0,1
 0,500000.0,493.8602,0.70639257,2048,0.66543099,1.3e-07,False,1.43e-05,1878,0.1,0.47958337,0,2

pbt/cc_acrobot_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000.0,-87.328125,1.0,256,1.0,0.00047061,True,0.5,0.1,1414,0.10997845,1,0,0
 0,10000.0,-88.72656,1.0,256,1.0,0.00047061,True,0.5,0.1,1414,0.10997845,1,0,1
 0,10000.0,-86.96094,1.0,256,1.0,0.00047061,True,0.5,0.1,1414,0.10997845,1,0,2

pbt/cc_acrobot_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,-143.92188,0.1054161,0.02551074,0.95891682,1.54e-06,0.55595447,128,False,0.30597534,0.08136053,0,0
 0,100000.0,-500.0,0.1054161,0.02551074,0.95891682,1.54e-06,0.55595447,128,False,0.30597534,0.08136053,0,1
 0,100000.0,-500.0,0.1054161,0.02551074,0.95891682,1.54e-06,0.55595447,128,False,0.30597534,0.08136053,0,2

pbt/cc_cartpole_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,5000.0,172.22656,0.09096477,256,0.76589176,4.908e-05,True,0.82607213,0.02307669,793,0.07515976,36,0,0
 0,5000.0,311.71094,0.09096477,256,0.76589176,4.908e-05,True,0.82607213,0.02307669,793,0.07515976,36,0,1
 0,5000.0,297.8047,0.09096477,256,0.76589176,4.908e-05,True,0.82607213,0.02307669,793,0.07515976,36,0,2

pbt/cc_cartpole_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000.0,115.484375,0.40817188,0.23764766,0.9999,1.09e-05,0.71402644,512,False,0.16702503,0.05424036,0,0
 0,10000.0,148.28906,0.40817188,0.23764766,0.9999,1.09e-05,0.71402644,512,False,0.16702503,0.05424036,0,1
 0,10000.0,152.82031,0.40817188,0.23764766,0.9999,1.09e-05,0.71402644,512,False,0.16702503,0.05424036,0,2

pbt/cc_continuous_mountain_car_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,2000.0,-0.00153197,0.27557748,0.15824061,0.9999,1.83e-06,0.06263898,256,False,0.16112173,0.07263609,0,0
 0,2000.0,-2.138e-05,0.27557748,0.15824061,0.9999,1.83e-06,0.06263898,256,False,0.16112173,0.07263609,0,1
 0,2000.0,-0.00150522,0.27557748,0.15824061,0.9999,1.83e-06,0.06263898,256,False,0.16112173,0.07263609,0,2

pbt/cc_continuous_mountain_car_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,5000.0,-1.046e-05,0.06044959,1024,0.68667695,1e-08,False,1.559e-05,93,6.10524078,1.0,0,0
 0,5000.0,-0.02176532,0.06044959,1024,0.68667695,1e-08,False,1.559e-05,93,6.10524078,1.0,0,1
 0,5000.0,-0.01226885,0.06044959,1024,0.68667695,1e-08,False,1.559e-05,93,6.10524078,1.0,0,2

pbt/cc_mountain_car_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,12000.0,-200.0,0.76645346,128,0.07554009,1.5e-07,True,0.6536995,1.76e-05,2008,0.15551709,13,0,0
 0,12000.0,-200.0,0.76645346,128,0.07554009,1.5e-07,True,0.6536995,1.76e-05,2008,0.15551709,13,0,1
 0,12000.0,-146.10938,0.76645346,128,0.07554009,1.5e-07,True,0.6536995,1.76e-05,2008,0.15551709,13,0,2

pbt/cc_mountain_car_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,-200.0,0.01638351,0.09955147,0.9999,0.01153655,0.67483378,256,False,0.5,0.78238179,0,0
 0,100000.0,-200.0,0.01638351,0.09955147,0.9999,0.01153655,0.67483378,256,False,0.5,0.78238179,0,1
 0,100000.0,-200.0,0.01638351,0.09955147,0.9999,0.01153655,0.67483378,256,False,0.5,0.78238179,0,2

pbt/cc_pendulum_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000.0,-1259.57535415,0.09963792,0.25022802,0.96,0.02628629,0.14620107,128,True,0.39872534,0.29382593,0,0
 0,10000.0,-1277.18694097,0.09963792,0.25022802,0.96,0.02628629,0.14620107,128,True,0.39872534,0.29382593,0,1
 0,10000.0,-1169.29226645,0.09963792,0.25022802,0.96,0.02628629,0.14620107,128,True,0.39872534,0.29382593,0,2

pbt/cc_pendulum_sac.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.learning_rate,hp_config.learning_starts,hp_config.reward_scale,hp_config.tau,optimization_seed,seed
 0,2000.0,-1222.19174196,1.0,512,0.22487213,1e-08,True,3.205e-05,8017,0.37322306,0.61271989,0,0
 0,2000.0,-1164.23532901,1.0,512,0.22487213,1e-08,True,3.205e-05,8017,0.37322306,0.61271989,0,1
 0,2000.0,-1268.05212076,1.0,512,0.22487213,1e-08,True,3.205e-05,8017,0.37322306,0.61271989,0,2

pbt/minigrid_door_key_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,100000.0,0.0,0.94947979,128,0.44405819,9.12e-06,False,0.85285699,0.00022892,913,0.03902275,76,0,0
 0,100000.0,0.0,0.94947979,128,0.44405819,9.12e-06,False,0.85285699,0.00022892,913,0.03902275,76,0,1
 0,100000.0,0.0,0.94947979,128,0.44405819,9.12e-06,False,0.85285699,0.00022892,913,0.03902275,76,0,2

pbt/minigrid_door_key_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,0.0,0.23331396,0.04986109,0.9999,2.22e-05,0.45763967,64,False,0.49414657,0.64015632,0,0
 0,100000.0,0.0,0.23331396,0.04986109,0.9999,2.22e-05,0.45763967,64,False,0.49414657,0.64015632,0,1
 0,100000.0,0.0,0.23331396,0.04986109,0.9999,2.22e-05,0.45763967,64,False,0.49414657,0.64015632,0,2

pbt/minigrid_empty_random_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000.0,0.0,0.73991613,32,0.56222493,2.5e-07,True,0.5139126,1e-06,1605,0.11002084,76,0,0
 0,10000.0,0.0,0.73991613,32,0.56222493,2.5e-07,True,0.5139126,1e-06,1605,0.11002084,76,0,1
 0,10000.0,0.0,0.73991613,32,0.56222493,2.5e-07,True,0.5139126,1e-06,1605,0.11002084,76,0,2

pbt/minigrid_empty_random_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000.0,0.4210547,0.29339523,0.30746758,0.8,0.00250146,0.49932056,32,True,0.03376229,0.38078715,0,0
 0,10000.0,0.10817969,0.29339523,0.30746758,0.8,0.00250146,0.49932056,32,True,0.03376229,0.38078715,0,1
 0,10000.0,0.11564062,0.29339523,0.30746758,0.8,0.00250146,0.49932056,32,True,0.03376229,0.38078715,0,2

pbt/minigrid_four_rooms_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,100000.0,0.0,0.44246022,64,0.96,1.2e-07,True,0.7972525,0.00063323,881,0.03251833,55,0,0
 0,100000.0,0.0,0.44246022,64,0.96,1.2e-07,True,0.7972525,0.00063323,881,0.03251833,55,0,1
 0,100000.0,0.0,0.44246022,64,0.96,1.2e-07,True,0.7972525,0.00063323,881,0.03251833,55,0,2

pbt/minigrid_four_rooms_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,0.00774219,0.2045948,0.46190783,0.9999,5.03e-05,0.46014503,64,True,0.4486692,0.62895737,0,0
 0,100000.0,0.0,0.2045948,0.46190783,0.9999,5.03e-05,0.46014503,64,True,0.4486692,0.62895737,0,1
 0,100000.0,0.02224219,0.2045948,0.46190783,0.9999,5.03e-05,0.46014503,64,True,0.4486692,0.62895737,0,2

pbt/minigrid_unlock_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_alpha,hp_config.buffer_batch_size,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.buffer_prio_sampling,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,100000.0,0.0,1.0,128,0.07704045,8.578e-05,False,0.70158068,5.523e-05,1826,0.12265725,56,0,0
 0,100000.0,0.0,1.0,128,0.07704045,8.578e-05,False,0.70158068,5.523e-05,1826,0.12265725,56,0,1
 0,100000.0,0.0,1.0,128,0.07704045,8.578e-05,False,0.70158068,5.523e-05,1826,0.12265725,56,0,2

pbt/minigrid_unlock_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,100000.0,0.0,0.2136238,0.21008182,0.9999,4.03e-06,0.75013366,128,True,0.5,0.16825181,0,0
 0,100000.0,0.0,0.2136238,0.21008182,0.9999,4.03e-06,0.75013366,128,True,0.5,0.16825181,0,1
 0,100000.0,0.0,0.2136238,0.21008182,0.9999,4.03e-06,0.75013366,128,True,0.5,0.16825181,0,2

rename_opt.py

@@ -0,0 +1,35 @@
+import os
+import pandas as pd
+
+def replace_empty_performance(directories, performance_column="performance"):
+    for directory in directories:
+        if not os.path.exists(directory):
+            print(f"Directory {directory} does not exist, skipping...")
+            continue
+        
+        csv_files = [f for f in os.listdir(directory) if f.endswith('.csv')]
+        
+        for file in csv_files:
+            file_path = os.path.join(directory, file)
+            try:
+                print(f"Processing {file_path}...")
+                
+                # Read CSV file
+                df = pd.read_csv(file_path)
+                
+                # Rename 'budget' column to 'training_steps'
+                if 'optimisation_seed' in df.columns:
+                    df = df.rename(columns={'optimisation_seed': 'optimization_seed'})
+                
+                    df.to_csv(file_path, index=False)
+                    print(f"Saved processed file: {file_path}\n")
+                else:
+                    print(f"Column '{performance_column}' not found in {file_path}, skipping...")
+                
+            except Exception as e:
+                print(f"Error processing {file_path}: {e}")
+
+if __name__ == "__main__":
+    directories = ["landscapes", "rs", "pbt", "smac", "smac_mf"]
+    replace_empty_performance(directories)
+

rs/atari_battle_zone_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000000,26476.562,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,0
 0,10000000,30039.062,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,1
 0,10000000,13890.625,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,2

rs/atari_battle_zone_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000000.0,3000.0,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,0
 0,10000000.0,0.0,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,1
 0,10000000.0,3000.0,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,2

rs/atari_double_dunk_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000000,-16.375,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,0
 0,10000000,-15.0625,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,1
 0,10000000,-15.015625,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,2

rs/atari_double_dunk_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000000.0,-18.125,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,0
 0,10000000.0,-17.65625,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,1
 0,10000000.0,-18.359375,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,2

rs/atari_phoenix_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000000,1055.0781,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,0
 0,10000000,4471.6406,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,1
 0,10000000,4006.4062,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,2

rs/atari_phoenix_ppo.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.clip_eps,hp_config.ent_coef,hp_config.gae_lambda,hp_config.learning_rate,hp_config.max_grad_norm,hp_config.minibatch_size,hp_config.normalize_advantage,hp_config.vf_clip_eps,hp_config.vf_coef,optimization_seed,seed
 0,10000000.0,166.25,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,0
 0,10000000.0,491.17188,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,1
 0,10000000.0,721.6406,0.18727006,0.07799726,0.80411484,8.26e-06,0.61185289,512,True,0.22524963,0.01596625,42,2

rs/atari_qbert_dqn.csv

@@ -1,4 +1,4 @@
-config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimisation_seed,seed
+config_id,training_steps,performance,hp_config.buffer_batch_size,hp_config.buffer_prio_sampling,hp_config.buffer_size,hp_config.initial_epsilon,hp_config.learning_rate,hp_config.learning_starts,hp_config.target_epsilon,hp_config.use_target_network,hp_config.buffer_alpha,hp_config.buffer_beta,hp_config.buffer_epsilon,hp_config.target_update_interval,optimization_seed,seed
 0,10000000,414.64844,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,0
 0,10000000,870.5078,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,1
 0,10000000,589.64844,64,True,955722,0.57143341,1.01e-06,28504,0.01028647,False,0.05598591,0.96597571,5.76e-06,,42,2