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2023-02-04 22:31:46 - r - INFO: - Hyperparameters: 2023-02-04 22:31:46 - r - INFO: - ================================================================================ 2023-02-04 22:31:46 - r - INFO: - Name Value Type 2023-02-04 22:31:46 - r - INFO: - env_name CartPole-v1 <class 'str'> 2023-02-04 22:31:46 - r - INFO: - new_step_api 1 <class 'bool'> 2023-02-04 22:31:46 - r - INFO: - wrapper None <class 'str'> 2023-02-04 22:31:46 - r - INFO: - render 0 <class 'bool'> 2023-02-04 22:31:46 - r - INFO: - algo_name DRQN <class 'str'> 2023-02-04 22:31:46 - r - INFO: - mode train <class 'str'> 2023-02-04 22:31:46 - r - INFO: - seed 1 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - device cuda <class 'str'> 2023-02-04 22:31:46 - r - INFO: - train_eps 200 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - test_eps 10 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - eval_eps 10 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - eval_per_episode 5 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - max_steps 200 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - load_checkpoint 0 <class 'bool'> 2023-02-04 22:31:46 - r - INFO: - load_path Train_CartPole-v1_ <class 'str'> 2023-02-04 22:31:46 - r - INFO: - show_fig 0 <class 'bool'> 2023-02-04 22:31:46 - r - INFO: - save_fig 1 <class 'bool'> 2023-02-04 22:31:46 - r - INFO: - epsilon_start 0.1 <class 'float'> 2023-02-04 22:31:46 - r - INFO: - epsilon_end 0.001 <class 'float'> 2023-02-04 22:31:46 - r - INFO: - epsilon_decay 0.995 <class 'float'> 2023-02-04 22:31:46 - r - INFO: - hidden_dim 64 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - gamma 0.99 <class 'float'> 2023-02-04 22:31:46 - r - INFO: - lr 0.001 <class 'float'> 2023-02-04 22:31:46 - r - INFO: - buffer_size 100000 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - batch_size 8 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - target_update 4 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - lookup_step 10 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - min_epi_num 16 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - max_epi_len 100 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - max_epi_num 100 <class 'int'> 2023-02-04 22:31:46 - r - INFO: - value_layers [{'layer_type': 'linear', 'layer_dim': ['n_states', 64], 'activation': 'relu'}, {'layer_type': 'linear', 'layer_dim': [64, 64], 'activation': 'relu'}, {'layer_type': 'linear', 'layer_dim': [64, 'n_actions'], 'activation': 'none'}] <class 'str'> 2023-02-04 22:31:46 - r - INFO: - task_dir /home/dingli/rl-tutorials/joyrl/tasks/Train_CartPole-v1_DRQN_20230204-223146 <class 'str'> 2023-02-04 22:31:46 - r - INFO: - model_dir /home/dingli/rl-tutorials/joyrl/tasks/Train_CartPole-v1_DRQN_20230204-223146/models <class 'str'> 2023-02-04 22:31:46 - r - INFO: - res_dir /home/dingli/rl-tutorials/joyrl/tasks/Train_CartPole-v1_DRQN_20230204-223146/results <class 'str'> 2023-02-04 22:31:46 - r - INFO: - log_dir /home/dingli/rl-tutorials/joyrl/tasks/Train_CartPole-v1_DRQN_20230204-223146/logs <class 'str'> 2023-02-04 22:31:46 - r - INFO: - traj_dir /home/dingli/rl-tutorials/joyrl/tasks/Train_CartPole-v1_DRQN_20230204-223146/traj <class 'str'> 2023-02-04 22:31:46 - r - INFO: - ================================================================================ 2023-02-04 22:31:46 - r - INFO: - n_states: 4, n_actions: 2 2023-02-04 22:31:48 - r - INFO: - Start training! 2023-02-04 22:31:48 - r - INFO: - Env: CartPole-v1, Algorithm: DRQN, Device: cuda 2023-02-04 22:31:49 - r - INFO: - Episode: 1/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 2/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 3/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 4/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 5/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Current episode 5 has the best eval reward: 10.000 2023-02-04 22:31:49 - r - INFO: - Episode: 6/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 7/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 8/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 9/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 10/200, Reward: 12.000, Step: 12 2023-02-04 22:31:49 - r - INFO: - Current episode 10 has the best eval reward: 10.000 2023-02-04 22:31:49 - r - INFO: - Episode: 11/200, Reward: 11.000, Step: 11 2023-02-04 22:31:49 - r - INFO: - Episode: 12/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 13/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 14/200, Reward: 10.000, Step: 10 2023-02-04 22:31:49 - r - INFO: - Episode: 15/200, Reward: 11.000, Step: 11 2023-02-04 22:31:50 - r - INFO: - Current episode 15 has the best eval reward: 10.000 2023-02-04 22:31:50 - r - INFO: - Episode: 16/200, Reward: 10.000, Step: 10 2023-02-04 22:31:50 - r - INFO: - Episode: 17/200, Reward: 13.000, Step: 13 2023-02-04 22:31:50 - r - INFO: - Episode: 18/200, Reward: 14.000, Step: 14 2023-02-04 22:31:50 - r - INFO: - Episode: 19/200, Reward: 18.000, Step: 18 2023-02-04 22:31:51 - r - INFO: - Episode: 20/200, Reward: 13.000, Step: 13 2023-02-04 22:31:51 - r - INFO: - Current episode 20 has the best eval reward: 11.000 2023-02-04 22:31:51 - r - INFO: - Episode: 21/200, Reward: 12.000, Step: 12 2023-02-04 22:31:51 - r - INFO: - Episode: 22/200, Reward: 12.000, Step: 12 2023-02-04 22:31:51 - r - INFO: - Episode: 23/200, Reward: 14.000, Step: 14 2023-02-04 22:31:51 - r - INFO: - Episode: 24/200, Reward: 11.000, Step: 11 2023-02-04 22:31:51 - r - INFO: - Episode: 25/200, Reward: 9.000, Step: 9 2023-02-04 22:31:52 - r - INFO: - Episode: 26/200, Reward: 20.000, Step: 20 2023-02-04 22:31:52 - r - INFO: - Episode: 27/200, Reward: 19.000, Step: 19 2023-02-04 22:31:52 - r - INFO: - Episode: 28/200, Reward: 13.000, Step: 13 2023-02-04 22:31:52 - r - INFO: - Episode: 29/200, Reward: 16.000, Step: 16 2023-02-04 22:31:53 - r - INFO: - Episode: 30/200, Reward: 17.000, Step: 17 2023-02-04 22:31:54 - r - INFO: - Current episode 30 has the best eval reward: 102.000 2023-02-04 22:31:55 - r - INFO: - Episode: 31/200, Reward: 74.000, Step: 74 2023-02-04 22:31:56 - r - INFO: - Episode: 32/200, Reward: 87.000, Step: 87 2023-02-04 22:31:58 - r - INFO: - Episode: 33/200, Reward: 142.000, Step: 142 2023-02-04 22:31:58 - r - INFO: - Episode: 34/200, Reward: 53.000, Step: 53 2023-02-04 22:31:59 - r - INFO: - Episode: 35/200, Reward: 56.000, Step: 56 2023-02-04 22:32:00 - r - INFO: - Episode: 36/200, Reward: 57.000, Step: 57 2023-02-04 22:32:01 - r - INFO: - Episode: 37/200, Reward: 24.000, Step: 24 2023-02-04 22:32:01 - r - INFO: - Episode: 38/200, Reward: 56.000, Step: 56 2023-02-04 22:32:03 - r - INFO: - Episode: 39/200, Reward: 110.000, Step: 110 2023-02-04 22:32:03 - r - INFO: - Episode: 40/200, Reward: 35.000, Step: 35 2023-02-04 22:32:04 - r - INFO: - Episode: 41/200, Reward: 27.000, Step: 27 2023-02-04 22:32:04 - r - INFO: - Episode: 42/200, Reward: 31.000, Step: 31 2023-02-04 22:32:05 - r - INFO: - Episode: 43/200, Reward: 28.000, Step: 28 2023-02-04 22:32:05 - r - INFO: - Episode: 44/200, Reward: 27.000, Step: 27 2023-02-04 22:32:05 - 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r - INFO: - Episode: 135/200, Reward: 200.000, Step: 200 2023-02-04 22:33:58 - r - INFO: - Current episode 135 has the best eval reward: 200.000 2023-02-04 22:33:58 - r - INFO: - Episode: 136/200, Reward: 30.000, Step: 30 2023-02-04 22:34:01 - r - INFO: - Episode: 137/200, Reward: 200.000, Step: 200 2023-02-04 22:34:03 - r - INFO: - Episode: 138/200, Reward: 200.000, Step: 200 2023-02-04 22:34:06 - r - INFO: - Episode: 139/200, Reward: 200.000, Step: 200 2023-02-04 22:34:08 - r - INFO: - Episode: 140/200, Reward: 115.000, Step: 115 2023-02-04 22:34:10 - r - INFO: - Current episode 140 has the best eval reward: 200.000 2023-02-04 22:34:12 - r - INFO: - Episode: 141/200, Reward: 200.000, Step: 200 2023-02-04 22:34:15 - r - INFO: - Episode: 142/200, Reward: 200.000, Step: 200 2023-02-04 22:34:18 - r - INFO: - Episode: 143/200, Reward: 200.000, Step: 200 2023-02-04 22:34:19 - r - INFO: - Episode: 144/200, Reward: 53.000, Step: 53 2023-02-04 22:34:19 - r - INFO: - Episode: 145/200, Reward: 58.000, Step: 58 2023-02-04 22:34:24 - 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r - INFO: - Episode: 159/200, Reward: 183.000, Step: 183 2023-02-04 22:34:53 - r - INFO: - Episode: 160/200, Reward: 81.000, Step: 81 2023-02-04 22:34:55 - r - INFO: - Current episode 160 has the best eval reward: 200.000 2023-02-04 22:34:56 - r - INFO: - Episode: 161/200, Reward: 85.000, Step: 85 2023-02-04 22:34:57 - r - INFO: - Episode: 162/200, Reward: 47.000, Step: 47 2023-02-04 22:34:59 - r - INFO: - Episode: 163/200, Reward: 136.000, Step: 136 2023-02-04 22:35:01 - r - INFO: - Episode: 164/200, Reward: 200.000, Step: 200 2023-02-04 22:35:03 - r - INFO: - Episode: 165/200, Reward: 130.000, Step: 130 2023-02-04 22:35:07 - r - INFO: - Episode: 166/200, Reward: 200.000, Step: 200 2023-02-04 22:35:10 - r - INFO: - Episode: 167/200, Reward: 200.000, Step: 200 2023-02-04 22:35:12 - r - INFO: - Episode: 168/200, Reward: 200.000, Step: 200 2023-02-04 22:35:15 - r - INFO: - Episode: 169/200, Reward: 200.000, Step: 200 2023-02-04 22:35:18 - r - INFO: - Episode: 170/200, Reward: 200.000, Step: 200 2023-02-04 22:35:19 - r - INFO: - Episode: 171/200, Reward: 37.000, Step: 37 2023-02-04 22:35:20 - r - INFO: - Episode: 172/200, Reward: 129.000, Step: 129 2023-02-04 22:35:23 - r - INFO: - Episode: 173/200, Reward: 153.000, Step: 153 2023-02-04 22:35:24 - r - INFO: - Episode: 174/200, Reward: 133.000, Step: 133 2023-02-04 22:35:26 - r - INFO: - Episode: 175/200, Reward: 106.000, Step: 106 2023-02-04 22:35:29 - r - INFO: - Episode: 176/200, Reward: 122.000, Step: 122 2023-02-04 22:35:30 - r - INFO: - Episode: 177/200, Reward: 78.000, Step: 78 2023-02-04 22:35:32 - r - INFO: - Episode: 178/200, Reward: 147.000, Step: 147 2023-02-04 22:35:34 - r - INFO: - Episode: 179/200, Reward: 200.000, Step: 200 2023-02-04 22:35:37 - r - INFO: - Episode: 180/200, Reward: 200.000, Step: 200 2023-02-04 22:35:39 - r - INFO: - Current episode 180 has the best eval reward: 200.000 2023-02-04 22:35:42 - r - INFO: - Episode: 181/200, Reward: 200.000, Step: 200 2023-02-04 22:35:45 - r - INFO: - Episode: 182/200, Reward: 200.000, Step: 200 2023-02-04 22:35:47 - r - INFO: - Episode: 183/200, Reward: 200.000, Step: 200 2023-02-04 22:35:50 - r - INFO: - Episode: 184/200, Reward: 163.000, Step: 163 2023-02-04 22:35:52 - r - INFO: - Episode: 185/200, Reward: 200.000, Step: 200 2023-02-04 22:35:54 - r - INFO: - Current episode 185 has the best eval reward: 200.000 2023-02-04 22:35:57 - r - INFO: - Episode: 186/200, Reward: 200.000, Step: 200 2023-02-04 22:36:00 - r - INFO: - Episode: 187/200, Reward: 200.000, Step: 200 2023-02-04 22:36:02 - r - INFO: - Episode: 188/200, Reward: 200.000, Step: 200 2023-02-04 22:36:05 - r - INFO: - Episode: 189/200, Reward: 177.000, Step: 177 2023-02-04 22:36:07 - r - INFO: - Episode: 190/200, Reward: 159.000, Step: 159 2023-02-04 22:36:09 - r - INFO: - Current episode 190 has the best eval reward: 200.000 2023-02-04 22:36:12 - r - INFO: - Episode: 191/200, Reward: 200.000, Step: 200 2023-02-04 22:36:13 - r - INFO: - Episode: 192/200, Reward: 44.000, Step: 44 2023-02-04 22:36:15 - r - INFO: - Episode: 193/200, Reward: 200.000, Step: 200 2023-02-04 22:36:18 - r - INFO: - Episode: 194/200, Reward: 200.000, Step: 200 2023-02-04 22:36:21 - r - INFO: - Episode: 195/200, Reward: 200.000, Step: 200 2023-02-04 22:36:26 - r - INFO: - Episode: 196/200, Reward: 200.000, Step: 200 2023-02-04 22:36:28 - r - INFO: - Episode: 197/200, Reward: 199.000, Step: 199 2023-02-04 22:36:29 - r - INFO: - Episode: 198/200, Reward: 13.000, Step: 13 2023-02-04 22:36:29 - r - INFO: - Episode: 199/200, Reward: 15.000, Step: 15 2023-02-04 22:36:31 - r - INFO: - Episode: 200/200, Reward: 200.000, Step: 200 2023-02-04 22:36:33 - r - INFO: - Current episode 200 has the best eval reward: 200.000 2023-02-04 22:36:33 - r - INFO: - Finish training! |