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2023-03-05 11:28:49 - r - INFO: - Hyperparameters: |
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2023-03-05 11:28:49 - r - INFO: - ================================================================================ |
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2023-03-05 11:28:49 - r - INFO: - Name Value Type |
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2023-03-05 11:28:49 - r - INFO: - env_name CartPole-v1 <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - new_step_api 1 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - wrapper None <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - render 0 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - algo_name SAC_D <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - mode train <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - seed 0 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - device cuda <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - train_eps 200 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - test_eps 10 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - eval_eps 10 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - eval_per_episode 5 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - max_steps 200 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - load_checkpoint 0 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - load_path Train_CartPole-v1_DQN_20221026-054757 <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - show_fig 0 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - save_fig 1 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - epsilon_start 0.95 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - epsilon_end 0.01 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - epsilon_decay 500 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - lr 0.0001 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - gamma 0.95 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - tau 0.005 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - alpha 0.2 <class 'float'> |
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2023-03-05 11:28:49 - r - INFO: - automatic_entropy_tuning 0 <class 'bool'> |
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2023-03-05 11:28:49 - r - INFO: - batch_size 64 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - hidden_dim 256 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - n_epochs 1 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - target_update 1 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - buffer_size 1000000 <class 'int'> |
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2023-03-05 11:28:49 - r - INFO: - task_dir /home/dingli/joyrl_offline/tasks/Train_CartPole-v1_SAC_D_20230305-112849 <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - model_dir /home/dingli/joyrl_offline/tasks/Train_CartPole-v1_SAC_D_20230305-112849/models <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - res_dir /home/dingli/joyrl_offline/tasks/Train_CartPole-v1_SAC_D_20230305-112849/results <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - log_dir /home/dingli/joyrl_offline/tasks/Train_CartPole-v1_SAC_D_20230305-112849/logs <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - traj_dir /home/dingli/joyrl_offline/tasks/Train_CartPole-v1_SAC_D_20230305-112849/traj <class 'str'> |
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2023-03-05 11:28:49 - r - INFO: - ================================================================================ |
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2023-03-05 11:28:49 - r - INFO: - n_states: 4, n_actions: 2 |
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2023-03-05 11:28:51 - r - INFO: - Start training! |
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2023-03-05 11:28:51 - r - INFO: - Env: CartPole-v1, Algorithm: SAC_D, Device: cuda |
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2023-03-05 11:28:51 - r - INFO: - Episode: 1/200, Reward: 17.000, Step: 17 |
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2023-03-05 11:28:52 - r - INFO: - Episode: 2/200, Reward: 77.000, Step: 77 |
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2023-03-05 11:28:52 - r - INFO: - Episode: 3/200, Reward: 33.000, Step: 33 |
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2023-03-05 11:28:52 - r - INFO: - Episode: 4/200, Reward: 25.000, Step: 25 |
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2023-03-05 11:28:53 - r - INFO: - Episode: 5/200, Reward: 49.000, Step: 49 |
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2023-03-05 11:28:53 - r - INFO: - Current episode 5 has the best eval reward: 63.300 |
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2023-03-05 11:28:53 - r - INFO: - Episode: 6/200, Reward: 31.000, Step: 31 |
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2023-03-05 11:28:53 - r - INFO: - Episode: 7/200, Reward: 35.000, Step: 35 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 8/200, Reward: 15.000, Step: 15 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 9/200, Reward: 10.000, Step: 10 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 10/200, Reward: 11.000, Step: 11 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 11/200, Reward: 16.000, Step: 16 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 12/200, Reward: 10.000, Step: 10 |
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2023-03-05 11:28:54 - r - INFO: - Episode: 13/200, Reward: 16.000, Step: 16 |
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2023-03-05 11:29:21 - r - INFO: - Episode: 105/200, Reward: 97.000, Step: 97 |
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2023-03-05 11:29:21 - r - INFO: - Current episode 105 has the best eval reward: 145.500 |
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2023-03-05 11:29:22 - r - INFO: - Episode: 106/200, Reward: 143.000, Step: 143 |
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2023-03-05 11:29:23 - r - INFO: - Episode: 107/200, Reward: 109.000, Step: 109 |
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2023-03-05 11:29:28 - r - INFO: - Episode: 110/200, Reward: 158.000, Step: 158 |
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2023-03-05 11:29:28 - r - INFO: - Current episode 110 has the best eval reward: 150.100 |
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2023-03-05 11:29:30 - r - INFO: - Episode: 111/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:29:31 - r - INFO: - Episode: 112/200, Reward: 133.000, Step: 133 |
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2023-03-05 11:29:34 - r - INFO: - Episode: 115/200, Reward: 133.000, Step: 133 |
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2023-03-05 11:29:35 - r - INFO: - Current episode 115 has the best eval reward: 181.400 |
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2023-03-05 11:29:36 - r - INFO: - Episode: 116/200, Reward: 136.000, Step: 136 |
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2023-03-05 11:29:41 - r - INFO: - Episode: 120/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:29:41 - r - INFO: - Current episode 120 has the best eval reward: 192.200 |
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2023-03-05 11:30:54 - r - INFO: - Episode: 165/200, Reward: 191.000, Step: 191 |
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2023-03-05 11:30:56 - r - INFO: - Episode: 166/200, Reward: 173.000, Step: 173 |
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2023-03-05 11:30:57 - r - INFO: - Episode: 167/200, Reward: 181.000, Step: 181 |
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2023-03-05 11:30:59 - r - INFO: - Episode: 168/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:01 - r - INFO: - Episode: 169/200, Reward: 180.000, Step: 180 |
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2023-03-05 11:31:02 - r - INFO: - Episode: 170/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:03 - r - INFO: - Current episode 170 has the best eval reward: 198.500 |
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2023-03-05 11:31:04 - r - INFO: - Episode: 171/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:06 - r - INFO: - Episode: 172/200, Reward: 174.000, Step: 174 |
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2023-03-05 11:31:07 - r - INFO: - Episode: 173/200, Reward: 189.000, Step: 189 |
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2023-03-05 11:31:09 - r - INFO: - Episode: 174/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:11 - r - INFO: - Episode: 175/200, Reward: 195.000, Step: 195 |
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2023-03-05 11:31:13 - r - INFO: - Episode: 176/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:15 - r - INFO: - Episode: 177/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:16 - r - INFO: - Episode: 178/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:18 - r - INFO: - Episode: 179/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:20 - r - INFO: - Episode: 180/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:22 - r - INFO: - Episode: 181/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:24 - r - INFO: - Episode: 182/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:25 - r - INFO: - Episode: 183/200, Reward: 184.000, Step: 184 |
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2023-03-05 11:31:27 - r - INFO: - Episode: 184/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:29 - r - INFO: - Episode: 185/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:29 - r - INFO: - Current episode 185 has the best eval reward: 200.000 |
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2023-03-05 11:31:31 - r - INFO: - Episode: 186/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:33 - r - INFO: - Episode: 187/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:34 - r - INFO: - Episode: 188/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:36 - r - INFO: - Episode: 189/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:38 - r - INFO: - Episode: 190/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:40 - r - INFO: - Episode: 191/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:42 - r - INFO: - Episode: 192/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:44 - r - INFO: - Episode: 193/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:45 - r - INFO: - Episode: 194/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:47 - r - INFO: - Episode: 195/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:47 - r - INFO: - Current episode 195 has the best eval reward: 200.000 |
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2023-03-05 11:31:49 - r - INFO: - Episode: 196/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:51 - r - INFO: - Episode: 197/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:53 - r - INFO: - Episode: 198/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:55 - r - INFO: - Episode: 199/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:56 - r - INFO: - Episode: 200/200, Reward: 200.000, Step: 200 |
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2023-03-05 11:31:57 - r - INFO: - Finish training! |
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