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training/marl/Airfoil3D-hard-v0/PPO/1/hydra.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=20000
     - seed=1
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=1,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=1
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/marl/Airfoil3D-hard-v0/PPO/1/multirun.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=20000
     - seed=1
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=1,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=1
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -167,8 +166,8 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 1
 rl_mode: marl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: false
@@ -213,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/PPO/2/config.yaml

@@ -3,8 +3,8 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 2
 rl_mode: marl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: false
@@ -49,3 +49,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/PPO/2/hydra.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=20000
     - seed=2
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=2,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=2
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/marl/Airfoil3D-hard-v0/PPO/2/multirun.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=20000
     - seed=2
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=2,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=2
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -167,8 +166,8 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 2
 rl_mode: marl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: false
@@ -213,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/PPO/2/overrides.yaml

@@ -1,5 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=marl
-- total_timesteps=20000
 - seed=2

training/marl/Airfoil3D-hard-v0/PPO/3/ckpt_latest.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:38bbb087e9e0204e287d884b8158d3d6de9f3220655fca1d785fb6c3dfc02d55
-size 1131549
+oid sha256:1a099007611336546e0c2c9517ca1eb35806aea38393e7f34356d3b5ce99c771
+size 1131557

training/marl/Airfoil3D-hard-v0/PPO/3/config.yaml

@@ -3,11 +3,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 3
 rl_mode: marl
-total_timesteps: 10000
+total_timesteps: 50000.0
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -49,3 +49,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/PPO/3/eval_sequence_10000.csv

@@ -1,201 +1,201 @@
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training/marl/Airfoil3D-hard-v0/PPO/3/hydra.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=10000
     - seed=3
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=3,total_timesteps=10000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=3
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/marl/Airfoil3D-hard-v0/PPO/3/multirun.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=10000
     - seed=3
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=3,total_timesteps=10000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=3
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -168,11 +166,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 3
 rl_mode: marl
-total_timesteps: 10000
+total_timesteps: 50000.0
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -214,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/PPO/3/overrides.yaml

@@ -1,6 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=marl
-- total_timesteps=10000
 - seed=3
-- continue_training=True

training/marl/Airfoil3D-hard-v0/PPO/3/training_log.csv

@@ -1,45 +1,56 @@
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training/marl/Airfoil3D-hard-v0/PPO/4/multirun.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=marl
-    - total_timesteps=10000
     - seed=4
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=4,total_timesteps=10000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=marl,seed=4
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -168,11 +166,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 4
 rl_mode: marl
-total_timesteps: 10000
+total_timesteps: 50000.0
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -214,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/marl/Airfoil3D-hard-v0/SAC/4/ckpt_latest.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:126e8ab1e2e0992e12f9a4ffac01d21ba398d08b9283d8416852303b2d62301a
-size 10114478
+oid sha256:50705b40d3241b35f511f5e82501d798b0469655a32ba14a0f8c7e9576dcb7dc
+size 10114521

training/marl/Airfoil3D-hard-v0/SAC/4/training_log.csv

@@ -10,3 +10,14 @@ step,training/mean_reward,training/mean_global_reward,training/mean_drag,trainin
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training/marl/Airfoil3D-medium-v0/SAC/1/config.yaml

@@ -4,7 +4,7 @@ eval_env_kwargs: {}
 seed: 1
 rl_mode: marl
 total_timesteps: 20000
-n_eval_steps: 10
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: true

training/marl/Airfoil3D-medium-v0/SAC/1/multirun.yaml

@@ -169,7 +169,7 @@ eval_env_kwargs: {}
 seed: 1
 rl_mode: marl
 total_timesteps: 20000
-n_eval_steps: 10
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: true

training/marl/Airfoil3D-medium-v0/SAC/3/config.yaml

@@ -4,7 +4,7 @@ eval_env_kwargs: {}
 seed: 3
 rl_mode: marl
 total_timesteps: 20000
-n_eval_steps: 10
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: true

training/marl/Airfoil3D-medium-v0/SAC/3/training_log copy.csv

@@ -0,0 +1,89 @@
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training/marl/Airfoil3D-medium-v0/SAC/4/training_log copy.csv

@@ -0,0 +1,67 @@
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training/sarl/Airfoil3D-hard-v0/PPO/0/hydra.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=0
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/sarl/Airfoil3D-hard-v0/PPO/0/multirun.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=0
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -167,8 +166,8 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 0
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: false
@@ -213,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-hard-v0/PPO/0/overrides.yaml

@@ -1,5 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=20000
 - seed=0

training/sarl/Airfoil3D-hard-v0/PPO/1/hydra.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=1
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=1,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=1
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/sarl/Airfoil3D-hard-v0/PPO/1/overrides.yaml

@@ -1,5 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=20000
 - seed=1

training/sarl/Airfoil3D-hard-v0/PPO/2/overrides.yaml

@@ -1,5 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=20000
 - seed=2

training/sarl/Airfoil3D-hard-v0/PPO/2/test/test_eval_episode_0.csv

@@ -0,0 +1,201 @@
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+0.3656389,1.6901457,0.0038637351,0.007905318,0.0026441948,0.015641037,-0.0693432,0.014979906,-0.08556685,-0.013898416,-0.06229683,-0.020558484,-0.06346004,-0.08248267,4.622445106506348

training/sarl/Airfoil3D-hard-v0/PPO/3/multirun.yaml

@@ -115,15 +115,14 @@ hydra:
     - env_id=Airfoil3D-hard-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=3
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=3,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=3
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -167,8 +166,8 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 3
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
 continue_training: false
@@ -213,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-hard-v0/PPO/4/config.yaml

@@ -3,11 +3,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 4
 rl_mode: sarl
-total_timesteps: 10000
+total_timesteps: 50000.0
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -49,3 +49,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-hard-v0/PPO/4/overrides.yaml

@@ -1,6 +1,4 @@
 - env_id=Airfoil3D-hard-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=10000
 - seed=4
-- continue_training=True

training/sarl/Airfoil3D-hard-v0/SAC/0/config.yaml

@@ -7,7 +7,7 @@ total_timesteps: 10000
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: false
+continue_training: true
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:

training/sarl/Airfoil3D-hard-v0/SAC/0/multirun.yaml

@@ -117,10 +117,11 @@ hydra:
     - rl_mode=sarl
     - total_timesteps=10000
     - seed=0
+    - continue_training=True
   job:
     name: train_sb3
     chdir: true
-    override_dirname: algorithm=sb3_sac,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0,total_timesteps=10000
+    override_dirname: algorithm=sb3_sac,continue_training=True,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=0,total_timesteps=10000
     id: ???
     num: ???
     config_name: train_sb3
@@ -171,7 +172,7 @@ total_timesteps: 10000
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: false
+continue_training: true
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:

training/sarl/Airfoil3D-hard-v0/SAC/0/overrides.yaml

@@ -3,3 +3,4 @@
 - rl_mode=sarl
 - total_timesteps=10000
 - seed=0
+- continue_training=True

training/sarl/Airfoil3D-hard-v0/SAC/0/training_log_prev.csv

@@ -0,0 +1,45 @@
+step,training/mean_reward,training/mean_drag,training/mean_lift,evaluation/mean_drag,evaluation/mean_lift,evaluation/mean_reward
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training/sarl/Airfoil3D-hard-v0/SAC/1/config.yaml

@@ -7,7 +7,7 @@ total_timesteps: 10000
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: false
+continue_training: true
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:

training/sarl/Airfoil3D-hard-v0/SAC/1/hydra.yaml

@@ -117,10 +117,11 @@ hydra:
     - rl_mode=sarl
     - total_timesteps=10000
     - seed=1
+    - continue_training=True
   job:
     name: train_sb3
     chdir: true
-    override_dirname: algorithm=sb3_sac,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=1,total_timesteps=10000
+    override_dirname: algorithm=sb3_sac,continue_training=True,env_id=Airfoil3D-hard-v0,rl_mode=sarl,seed=1,total_timesteps=10000
     id: '0'
     num: 0
     config_name: train_sb3

training/sarl/Airfoil3D-hard-v0/SAC/1/overrides.yaml

@@ -3,3 +3,4 @@
 - rl_mode=sarl
 - total_timesteps=10000
 - seed=1
+- continue_training=True

training/sarl/Airfoil3D-hard-v0/SAC/2/ckpt_latest.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:436438835d67084e664b22664661453320c991b9fb5805c0fc58b0eb341bf9f2
-size 31442842
+oid sha256:99837f7cee78357af4e67bdbb1f430bb1df7f277240a304635f9f35efa39417c
+size 31443259

training/sarl/Airfoil3D-hard-v0/SAC/2/training_log_prev.csv

@@ -10,3 +10,25 @@ step,training/mean_reward,training/mean_drag,training/mean_lift,evaluation/mean_
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 2000,2.4138944149017334,0.1824532165750861,1.2434129297733307,,,
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training/sarl/Airfoil3D-hard-v0/SAC/3/config.yaml

@@ -7,7 +7,7 @@ total_timesteps: 10000
 n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: false
+continue_training: true
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:

training/sarl/Airfoil3D-hard-v0/SAC/3/overrides.yaml

@@ -3,3 +3,4 @@
 - rl_mode=sarl
 - total_timesteps=10000
 - seed=3
+- continue_training=True

training/sarl/Airfoil3D-medium-v0/PPO/0/config.yaml

@@ -3,11 +3,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 0
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -49,3 +49,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-medium-v0/PPO/0/hydra.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-medium-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=0
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=0,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=0
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/sarl/Airfoil3D-medium-v0/PPO/0/multirun.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-medium-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=0
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=0,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=0
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -168,11 +166,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 0
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -214,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-medium-v0/PPO/0/overrides.yaml

@@ -1,6 +1,4 @@
 - env_id=Airfoil3D-medium-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=20000
 - seed=0
-- continue_training=True

training/sarl/Airfoil3D-medium-v0/PPO/1/config.yaml

@@ -3,11 +3,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 1
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -49,3 +49,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-medium-v0/PPO/1/hydra.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-medium-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=1
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=1,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=1
     id: '0'
     num: 0
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:

training/sarl/Airfoil3D-medium-v0/PPO/1/multirun.yaml

@@ -115,16 +115,14 @@ hydra:
     - env_id=Airfoil3D-medium-v0
     - algorithm=sb3_ppo
     - rl_mode=sarl
-    - total_timesteps=20000
     - seed=1
-    - continue_training=True
   job:
-    name: train_sb3
+    name: test_sb3
     chdir: true
-    override_dirname: algorithm=sb3_ppo,continue_training=True,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=1,total_timesteps=20000
+    override_dirname: algorithm=sb3_ppo,env_id=Airfoil3D-medium-v0,rl_mode=sarl,seed=1
     id: ???
     num: ???
-    config_name: train_sb3
+    config_name: test_sb3
     env_set: {}
     env_copy: []
     config:
@@ -168,11 +166,11 @@ env_kwargs: {}
 eval_env_kwargs: {}
 seed: 1
 rl_mode: sarl
-total_timesteps: 20000
-n_eval_steps: 10
+total_timesteps: 50000.0
+n_eval_steps: 5
 eval_freq: ${eval:${total_timesteps} // ${n_eval_steps}}
 n_eval_episodes: 1
-continue_training: true
+continue_training: false
 checkpoint_latest: true
 rl_device: cpu
 eval_callback:
@@ -214,3 +212,10 @@ algorithm:
     device: ${rl_device}
     _init_setup_model: true
 cluster: {}
+test_env_id: ${env_id}
+test_env_kwargs: ${env_kwargs}
+test_rl_mode: ${rl_mode}
+n_test_episodes: 10
+deterministic: true
+save_frames: true
+render_3d: true

training/sarl/Airfoil3D-medium-v0/PPO/1/overrides.yaml

@@ -1,6 +1,4 @@
 - env_id=Airfoil3D-medium-v0
 - algorithm=sb3_ppo
 - rl_mode=sarl
-- total_timesteps=20000
 - seed=1
-- continue_training=True