johnjim0816
add all benchmarks
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2023-04-16 11:03:59 - r - INFO: - Hyperparameters:
2023-04-16 11:03:59 - r - INFO: - ================================================================================
2023-04-16 11:03:59 - r - INFO: - Name Value Type
2023-04-16 11:03:59 - r - INFO: - env_name gym <class 'str'>
2023-04-16 11:03:59 - r - INFO: - new_step_api 1 <class 'bool'>
2023-04-16 11:03:59 - r - INFO: - wrapper None <class 'str'>
2023-04-16 11:03:59 - r - INFO: - render 0 <class 'bool'>
2023-04-16 11:03:59 - r - INFO: - render_mode None <class 'str'>
2023-04-16 11:03:59 - r - INFO: - algo_name TD3 <class 'str'>
2023-04-16 11:03:59 - r - INFO: - mode train <class 'str'>
2023-04-16 11:03:59 - r - INFO: - mp_backend mp <class 'str'>
2023-04-16 11:03:59 - r - INFO: - seed 1 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - device cuda <class 'str'>
2023-04-16 11:03:59 - r - INFO: - train_eps 100 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - test_eps 10 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - eval_eps 5 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - eval_per_episode 10 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - max_steps 200 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - load_checkpoint 0 <class 'bool'>
2023-04-16 11:03:59 - r - INFO: - load_path Train_CartPole-v1_DQN_20221026-054757 <class 'str'>
2023-04-16 11:03:59 - r - INFO: - show_fig 0 <class 'bool'>
2023-04-16 11:03:59 - r - INFO: - save_fig 1 <class 'bool'>
2023-04-16 11:03:59 - r - INFO: - explore_steps 1000 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - policy_freq 2 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - actor_lr 0.001 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - critic_lr 0.001 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - actor_hidden_dim 256 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - critic_hidden_dim 256 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - gamma 0.99 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - tau 0.005 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - policy_noise 0.2 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - expl_noise 0.1 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - noise_clip 0.5 <class 'float'>
2023-04-16 11:03:59 - r - INFO: - batch_size 100 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - buffer_size 1000000 <class 'int'>
2023-04-16 11:03:59 - r - INFO: - id Pendulum-v1 <class 'str'>
2023-04-16 11:03:59 - r - INFO: - task_dir /home/dingli/joyrl_offline/tasks/Train_gym_TD3_20230416-110359 <class 'str'>
2023-04-16 11:03:59 - r - INFO: - res_dir /home/dingli/joyrl_offline/tasks/Train_gym_TD3_20230416-110359/results <class 'str'>
2023-04-16 11:03:59 - r - INFO: - log_dir /home/dingli/joyrl_offline/tasks/Train_gym_TD3_20230416-110359/logs <class 'str'>
2023-04-16 11:03:59 - r - INFO: - traj_dir /home/dingli/joyrl_offline/tasks/Train_gym_TD3_20230416-110359/traj <class 'str'>
2023-04-16 11:03:59 - r - INFO: - video_dir /home/dingli/joyrl_offline/tasks/Train_gym_TD3_20230416-110359/videos <class 'str'>
2023-04-16 11:03:59 - r - INFO: - ================================================================================
2023-04-16 11:03:59 - r - INFO: - action_bound: 2.0
2023-04-16 11:03:59 - r - INFO: - n_states: 3, n_actions: 1
2023-04-16 11:04:05 - r - INFO: - Start training!
2023-04-16 11:04:05 - r - INFO: - Env: gym, Algorithm: TD3, Device: cuda
2023-04-16 11:04:05 - r - INFO: - Episode: 1/100, Reward: -832.441, Step: 200
2023-04-16 11:04:05 - r - INFO: - Episode: 2/100, Reward: -968.404, Step: 200
2023-04-16 11:04:05 - r - INFO: - Episode: 3/100, Reward: -874.586, Step: 200
2023-04-16 11:04:05 - r - INFO: - Episode: 4/100, Reward: -875.727, Step: 200
2023-04-16 11:04:05 - r - INFO: - Episode: 5/100, Reward: -897.681, Step: 200
2023-04-16 11:04:09 - r - INFO: - Episode: 6/100, Reward: -1568.319, Step: 200
2023-04-16 11:04:13 - r - INFO: - Episode: 7/100, Reward: -1459.121, Step: 200
2023-04-16 11:04:16 - r - INFO: - Episode: 8/100, Reward: -1240.331, Step: 200
2023-04-16 11:04:20 - r - INFO: - Episode: 9/100, Reward: -1134.842, Step: 200
2023-04-16 11:04:24 - r - INFO: - Episode: 10/100, Reward: -5.367, Step: 200
2023-04-16 11:04:27 - r - INFO: - Current episode 10 has the best eval reward: -0.514
2023-04-16 11:04:30 - r - INFO: - Episode: 11/100, Reward: -650.500, Step: 200
2023-04-16 11:04:34 - r - INFO: - Episode: 12/100, Reward: -8.378, Step: 200
2023-04-16 11:04:38 - r - INFO: - Episode: 13/100, Reward: -4.576, Step: 200
2023-04-16 11:04:42 - r - INFO: - Episode: 14/100, Reward: -3.628, Step: 200
2023-04-16 11:04:45 - r - INFO: - Episode: 15/100, Reward: -3.894, Step: 200
2023-04-16 11:04:49 - r - INFO: - Episode: 16/100, Reward: -3.819, Step: 200
2023-04-16 11:04:53 - r - INFO: - Episode: 17/100, Reward: -3.415, Step: 200
2023-04-16 11:04:57 - r - INFO: - Episode: 18/100, Reward: -2.764, Step: 200
2023-04-16 11:05:00 - r - INFO: - Episode: 19/100, Reward: -2.402, Step: 200
2023-04-16 11:05:04 - r - INFO: - Episode: 20/100, Reward: -3.090, Step: 200
2023-04-16 11:05:11 - r - INFO: - Episode: 21/100, Reward: -1.481, Step: 200
2023-04-16 11:05:15 - r - INFO: - Episode: 22/100, Reward: -1.263, Step: 200
2023-04-16 11:05:19 - r - INFO: - Episode: 23/100, Reward: -1.318, Step: 200
2023-04-16 11:05:22 - r - INFO: - Episode: 24/100, Reward: -1.565, Step: 200
2023-04-16 11:05:26 - r - INFO: - Episode: 25/100, Reward: -1.522, Step: 200
2023-04-16 11:05:30 - r - INFO: - Episode: 26/100, Reward: -1.708, Step: 200
2023-04-16 11:05:34 - r - INFO: - Episode: 27/100, Reward: -1.423, Step: 200
2023-04-16 11:05:37 - r - INFO: - Episode: 28/100, Reward: -1.537, Step: 200
2023-04-16 11:05:41 - r - INFO: - Episode: 29/100, Reward: -1.524, Step: 200
2023-04-16 11:05:45 - r - INFO: - Episode: 30/100, Reward: -1.459, Step: 200
2023-04-16 11:05:52 - r - INFO: - Episode: 31/100, Reward: -1.736, Step: 200
2023-04-16 11:05:56 - r - INFO: - Episode: 32/100, Reward: -2.068, Step: 200
2023-04-16 11:05:59 - r - INFO: - Episode: 33/100, Reward: -1.741, Step: 200
2023-04-16 11:06:03 - r - INFO: - Episode: 34/100, Reward: -1.849, Step: 200
2023-04-16 11:06:07 - r - INFO: - Episode: 35/100, Reward: -1.399, Step: 200
2023-04-16 11:06:11 - r - INFO: - Episode: 36/100, Reward: -1.471, Step: 200
2023-04-16 11:06:15 - r - INFO: - Episode: 37/100, Reward: -1.480, Step: 200
2023-04-16 11:06:18 - r - INFO: - Episode: 38/100, Reward: -1.453, Step: 200
2023-04-16 11:06:22 - r - INFO: - Episode: 39/100, Reward: -1.410, Step: 200
2023-04-16 11:06:26 - r - INFO: - Episode: 40/100, Reward: -1.362, Step: 200
2023-04-16 11:06:33 - r - INFO: - Episode: 41/100, Reward: -1.323, Step: 200
2023-04-16 11:06:36 - r - INFO: - Episode: 42/100, Reward: -1.332, Step: 200
2023-04-16 11:06:40 - r - INFO: - Episode: 43/100, Reward: -1.447, Step: 200
2023-04-16 11:06:44 - r - INFO: - Episode: 44/100, Reward: -1.354, Step: 200
2023-04-16 11:06:47 - r - INFO: - Episode: 45/100, Reward: -1.310, Step: 200
2023-04-16 11:06:51 - r - INFO: - Episode: 46/100, Reward: -1.432, Step: 200
2023-04-16 11:06:55 - r - INFO: - Episode: 47/100, Reward: -1.422, Step: 200
2023-04-16 11:06:59 - r - INFO: - Episode: 48/100, Reward: -1.380, Step: 200
2023-04-16 11:07:02 - r - INFO: - Episode: 49/100, Reward: -1.384, Step: 200
2023-04-16 11:07:06 - r - INFO: - Episode: 50/100, Reward: -1.286, Step: 200
2023-04-16 11:07:13 - r - INFO: - Episode: 51/100, Reward: -1.287, Step: 200
2023-04-16 11:07:17 - r - INFO: - Episode: 52/100, Reward: -1.343, Step: 200
2023-04-16 11:07:20 - r - INFO: - Episode: 53/100, Reward: -1.389, Step: 200
2023-04-16 11:07:24 - r - INFO: - Episode: 54/100, Reward: -1.476, Step: 200
2023-04-16 11:07:28 - r - INFO: - Episode: 55/100, Reward: -1.626, Step: 200
2023-04-16 11:07:31 - r - INFO: - Episode: 56/100, Reward: -1.645, Step: 200
2023-04-16 11:07:35 - r - INFO: - Episode: 57/100, Reward: -1.664, Step: 200
2023-04-16 11:07:39 - r - INFO: - Episode: 58/100, Reward: -1.740, Step: 200
2023-04-16 11:07:43 - r - INFO: - Episode: 59/100, Reward: -1.680, Step: 200
2023-04-16 11:07:46 - r - INFO: - Episode: 60/100, Reward: -1.795, Step: 200
2023-04-16 11:07:53 - r - INFO: - Episode: 61/100, Reward: -1.789, Step: 200
2023-04-16 11:07:57 - r - INFO: - Episode: 62/100, Reward: -1.763, Step: 200
2023-04-16 11:08:01 - r - INFO: - Episode: 63/100, Reward: -1.821, Step: 200
2023-04-16 11:08:05 - r - INFO: - Episode: 64/100, Reward: -1.844, Step: 200
2023-04-16 11:08:09 - r - INFO: - Episode: 65/100, Reward: -1.918, Step: 200
2023-04-16 11:08:13 - r - INFO: - Episode: 66/100, Reward: -1.805, Step: 200
2023-04-16 11:08:16 - r - INFO: - Episode: 67/100, Reward: -1.785, Step: 200
2023-04-16 11:08:20 - r - INFO: - Episode: 68/100, Reward: -1.861, Step: 200
2023-04-16 11:08:24 - r - INFO: - Episode: 69/100, Reward: -1.835, Step: 200
2023-04-16 11:08:27 - r - INFO: - Episode: 70/100, Reward: -1.856, Step: 200
2023-04-16 11:08:35 - r - INFO: - Episode: 71/100, Reward: -1.933, Step: 200
2023-04-16 11:08:38 - r - INFO: - Episode: 72/100, Reward: -1.982, Step: 200
2023-04-16 11:08:42 - r - INFO: - Episode: 73/100, Reward: -1.895, Step: 200
2023-04-16 11:08:45 - r - INFO: - Episode: 74/100, Reward: -1.956, Step: 200
2023-04-16 11:08:48 - r - INFO: - Episode: 75/100, Reward: -1.884, Step: 200
2023-04-16 11:08:51 - r - INFO: - Episode: 76/100, Reward: -1.884, Step: 200
2023-04-16 11:08:55 - r - INFO: - Episode: 77/100, Reward: -1.821, Step: 200
2023-04-16 11:08:59 - r - INFO: - Episode: 78/100, Reward: -1.874, Step: 200
2023-04-16 11:09:02 - r - INFO: - Episode: 79/100, Reward: -1.897, Step: 200
2023-04-16 11:09:06 - r - INFO: - Episode: 80/100, Reward: -1.519, Step: 200
2023-04-16 11:09:13 - r - INFO: - Episode: 81/100, Reward: -0.946, Step: 200
2023-04-16 11:09:17 - r - INFO: - Episode: 82/100, Reward: -0.804, Step: 200
2023-04-16 11:09:21 - r - INFO: - Episode: 83/100, Reward: -1.212, Step: 200
2023-04-16 11:09:24 - r - INFO: - Episode: 84/100, Reward: -1.332, Step: 200
2023-04-16 11:09:28 - r - INFO: - Episode: 85/100, Reward: -1.605, Step: 200
2023-04-16 11:09:32 - r - INFO: - Episode: 86/100, Reward: -1.488, Step: 200
2023-04-16 11:09:36 - r - INFO: - Episode: 87/100, Reward: -1.515, Step: 200
2023-04-16 11:09:40 - r - INFO: - Episode: 88/100, Reward: -1.570, Step: 200
2023-04-16 11:09:43 - r - INFO: - Episode: 89/100, Reward: -1.669, Step: 200
2023-04-16 11:09:47 - r - INFO: - Episode: 90/100, Reward: -1.649, Step: 200
2023-04-16 11:09:54 - r - INFO: - Episode: 91/100, Reward: -1.573, Step: 200
2023-04-16 11:09:58 - r - INFO: - Episode: 92/100, Reward: -1.586, Step: 200
2023-04-16 11:10:02 - r - INFO: - Episode: 93/100, Reward: -1.620, Step: 200
2023-04-16 11:10:06 - r - INFO: - Episode: 94/100, Reward: -1.777, Step: 200
2023-04-16 11:10:10 - r - INFO: - Episode: 95/100, Reward: -1.823, Step: 200
2023-04-16 11:10:13 - r - INFO: - Episode: 96/100, Reward: -1.755, Step: 200
2023-04-16 11:10:17 - r - INFO: - Episode: 97/100, Reward: -1.776, Step: 200
2023-04-16 11:10:21 - r - INFO: - Episode: 98/100, Reward: -1.732, Step: 200
2023-04-16 11:10:25 - r - INFO: - Episode: 99/100, Reward: -1.771, Step: 200
2023-04-16 11:10:28 - r - INFO: - Episode: 100/100, Reward: -1.783, Step: 200
2023-04-16 11:10:32 - r - INFO: - Finish training!