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2023-04-15 22:05:40 - r - INFO: - Hyperparameters:
2023-04-15 22:05:40 - r - INFO: - ================================================================================
2023-04-15 22:05:40 - r - INFO: - Name Value Type
2023-04-15 22:05:40 - r - INFO: - env_name gym <class 'str'>
2023-04-15 22:05:40 - r - INFO: - new_step_api 1 <class 'bool'>
2023-04-15 22:05:40 - r - INFO: - wrapper None <class 'str'>
2023-04-15 22:05:40 - r - INFO: - render 0 <class 'bool'>
2023-04-15 22:05:40 - r - INFO: - render_mode None <class 'str'>
2023-04-15 22:05:40 - r - INFO: - algo_name PER_DQN <class 'str'>
2023-04-15 22:05:40 - r - INFO: - mode test <class 'str'>
2023-04-15 22:05:40 - r - INFO: - mp_backend ray <class 'str'>
2023-04-15 22:05:40 - r - INFO: - seed 1 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - device cpu <class 'str'>
2023-04-15 22:05:40 - r - INFO: - train_eps 250 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - test_eps 10 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - eval_eps 10 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - eval_per_episode 5 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - max_steps 200 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - load_checkpoint 1 <class 'bool'>
2023-04-15 22:05:40 - r - INFO: - load_path Train_CartPole-v1_PER_DQN_ray_20230415-215738 <class 'str'>
2023-04-15 22:05:40 - r - INFO: - show_fig 0 <class 'bool'>
2023-04-15 22:05:40 - r - INFO: - save_fig 1 <class 'bool'>
2023-04-15 22:05:40 - r - INFO: - n_workers 1 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - epsilon_start 0.95 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - epsilon_end 0.01 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - epsilon_decay 500 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - hidden_dim 256 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - gamma 0.99 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - lr 0.0001 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - buffer_size 100000 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - per_alpha 0.6 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - per_beta 0.4 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - per_beta_annealing 0.001 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - per_epsilon 0.01 <class 'float'>
2023-04-15 22:05:40 - r - INFO: - batch_size 64 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - target_update 4 <class 'int'>
2023-04-15 22:05:40 - r - INFO: - value_layers [{'layer_type': 'linear', 'layer_dim': ['n_states', 256], 'activation': 'relu'}, {'layer_type': 'linear', 'layer_dim': [256, 256], 'activation': 'relu'}, {'layer_type': 'linear', 'layer_dim': [256, 'n_actions'], 'activation': 'none'}] <class 'str'>
2023-04-15 22:05:40 - r - INFO: - id CartPole-v1 <class 'str'>
2023-04-15 22:05:40 - r - INFO: - task_dir /media/disk/gsc/joyrl-offline/tasks/Test_gym_PER_DQN_20230415-220540 <class 'str'>
2023-04-15 22:05:40 - r - INFO: - res_dir /media/disk/gsc/joyrl-offline/tasks/Test_gym_PER_DQN_20230415-220540/results <class 'str'>
2023-04-15 22:05:40 - r - INFO: - log_dir /media/disk/gsc/joyrl-offline/tasks/Test_gym_PER_DQN_20230415-220540/logs <class 'str'>
2023-04-15 22:05:40 - r - INFO: - traj_dir /media/disk/gsc/joyrl-offline/tasks/Test_gym_PER_DQN_20230415-220540/traj <class 'str'>
2023-04-15 22:05:40 - r - INFO: - video_dir /media/disk/gsc/joyrl-offline/tasks/Test_gym_PER_DQN_20230415-220540/videos <class 'str'>
2023-04-15 22:05:40 - r - INFO: - ================================================================================
2023-04-15 22:05:40 - r - INFO: - n_states: 4, n_actions: 2
2023-04-15 22:05:40 - r - INFO: - Start testing!
2023-04-15 22:05:40 - r - INFO: - Env: gym, Algorithm: PER_DQN, Device: cpu
2023-04-15 22:05:40 - r - INFO: - Episode: 1/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 2/10, Reward: 199.000, Step: 199
2023-04-15 22:05:40 - r - INFO: - Episode: 3/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 4/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 5/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 6/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 7/10, Reward: 200.000, Step: 200
2023-04-15 22:05:40 - r - INFO: - Episode: 8/10, Reward: 200.000, Step: 200
2023-04-15 22:05:41 - r - INFO: - Episode: 9/10, Reward: 200.000, Step: 200
2023-04-15 22:05:41 - r - INFO: - Episode: 10/10, Reward: 200.000, Step: 200
2023-04-15 22:05:41 - r - INFO: - Finish testing!
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