Hugging Face's logo

qgallouedec
/
ddpg-HumanoidRunPureStateDMC-v0

Reinforcement Learning
stable-baselines3
HumanoidRunPureStateDMC-v0
deep-reinforcement-learning
Eval Results
Model card Files Community
Quentin Gallouédec commited on
Commit
5949ce8
·
1 Parent(s): cdc03d2

Initial commit

Browse files
Files changed (16) hide show
  1. .gitattributes +1 -0
  2. README.md +75 -0
  3. args.yml +83 -0
  4. config.yml +17 -0
  5. ddpg-HumanoidRunPureStateDMC-v0.zip +3 -0
  6. ddpg-HumanoidRunPureStateDMC-v0/_stable_baselines3_version +1 -0
  7. ddpg-HumanoidRunPureStateDMC-v0/actor.optimizer.pth +3 -0
  8. ddpg-HumanoidRunPureStateDMC-v0/critic.optimizer.pth +3 -0
  9. ddpg-HumanoidRunPureStateDMC-v0/data +137 -0
  10. ddpg-HumanoidRunPureStateDMC-v0/policy.pth +3 -0
  11. ddpg-HumanoidRunPureStateDMC-v0/pytorch_variables.pth +3 -0
  12. ddpg-HumanoidRunPureStateDMC-v0/system_info.txt +7 -0
  13. env_kwargs.yml +1 -0
  14. replay.mp4 +3 -0
  15. results.json +1 -0
  16. train_eval_metrics.zip +3 -0
.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
32
  *.zip filter=lfs diff=lfs merge=lfs -text
33
  *.zst filter=lfs diff=lfs merge=lfs -text
34
  *tfevents* filter=lfs diff=lfs merge=lfs -text
35
+ *.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - HumanoidRunPureStateDMC-v0
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: DDPG
10
+ results:
11
+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
15
+ name: HumanoidRunPureStateDMC-v0
16
+ type: HumanoidRunPureStateDMC-v0
17
+ metrics:
18
+ - type: mean_reward
19
+ value: 0.91 +/- 0.49
20
+ name: mean_reward
21
+ verified: false
22
+ ---
23
+
24
+ # **DDPG** Agent playing **HumanoidRunPureStateDMC-v0**
25
+ This is a trained model of a **DDPG** agent playing **HumanoidRunPureStateDMC-v0**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
27
+ and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
28
+
29
+ The RL Zoo is a training framework for Stable Baselines3
30
+ reinforcement learning agents,
31
+ with hyperparameter optimization and pre-trained agents included.
32
+
33
+ ## Usage (with SB3 RL Zoo)
34
+
35
+ RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
36
+ SB3: https://github.com/DLR-RM/stable-baselines3<br/>
37
+ SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
38
+
39
+ Install the RL Zoo (with SB3 and SB3-Contrib):
40
+ ```bash
41
+ pip install rl_zoo3
42
+ ```
43
+
44
+ ```
45
+ # Download model and save it into the logs/ folder
46
+ python -m rl_zoo3.load_from_hub --algo ddpg --env HumanoidRunPureStateDMC-v0 -orga qgallouedec -f logs/
47
+ python -m rl_zoo3.enjoy --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/
48
+ ```
49
+
50
+ If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
51
+ ```
52
+ python -m rl_zoo3.load_from_hub --algo ddpg --env HumanoidRunPureStateDMC-v0 -orga qgallouedec -f logs/
53
+ python -m rl_zoo3.enjoy --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/
54
+ ```
55
+
56
+ ## Training (with the RL Zoo)
57
+ ```
58
+ python -m rl_zoo3.train --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/
59
+ # Upload the model and generate video (when possible)
60
+ python -m rl_zoo3.push_to_hub --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/ -orga qgallouedec
61
+ ```
62
+
63
+ ## Hyperparameters
64
+ ```python
65
+ OrderedDict([('batch_size', 64),
66
+ ('gamma', 0.99),
67
+ ('learning_rate', 0.0001),
68
+ ('n_timesteps', 1000000.0),
69
+ ('noise_std', 0.3),
70
+ ('noise_type', 'ornstein-uhlenbeck'),
71
+ ('policy', 'MlpPolicy'),
72
+ ('policy_kwargs',
73
+ 'dict(net_arch=dict(pi=[300, 200], qf=[400, 300]))'),
74
+ ('normalize', False)])
75
+ ```
args.yml ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object/apply:collections.OrderedDict
2
+ - - - algo
3
+ - ddpg
4
+ - - conf_file
5
+ - null
6
+ - - device
7
+ - auto
8
+ - - env
9
+ - HumanoidRunPureStateDMC-v0
10
+ - - env_kwargs
11
+ - null
12
+ - - eval_episodes
13
+ - 20
14
+ - - eval_freq
15
+ - 25000
16
+ - - gym_packages
17
+ - []
18
+ - - hyperparams
19
+ - null
20
+ - - log_folder
21
+ - logs
22
+ - - log_interval
23
+ - -1
24
+ - - max_total_trials
25
+ - null
26
+ - - n_eval_envs
27
+ - 5
28
+ - - n_evaluations
29
+ - null
30
+ - - n_jobs
31
+ - 1
32
+ - - n_startup_trials
33
+ - 10
34
+ - - n_timesteps
35
+ - -1
36
+ - - n_trials
37
+ - 500
38
+ - - no_optim_plots
39
+ - false
40
+ - - num_threads
41
+ - -1
42
+ - - optimization_log_path
43
+ - null
44
+ - - optimize_hyperparameters
45
+ - false
46
+ - - progress
47
+ - false
48
+ - - pruner
49
+ - median
50
+ - - sampler
51
+ - tpe
52
+ - - save_freq
53
+ - -1
54
+ - - save_replay_buffer
55
+ - false
56
+ - - seed
57
+ - 3040844257
58
+ - - storage
59
+ - null
60
+ - - study_name
61
+ - null
62
+ - - tensorboard_log
63
+ - runs/HumanoidRunPureStateDMC-v0__ddpg__3040844257__1673811072
64
+ - - track
65
+ - true
66
+ - - trained_agent
67
+ - ''
68
+ - - truncate_last_trajectory
69
+ - true
70
+ - - uuid
71
+ - false
72
+ - - vec_env
73
+ - dummy
74
+ - - verbose
75
+ - 1
76
+ - - wandb_entity
77
+ - qgallouedec
78
+ - - wandb_project_name
79
+ - dmc
80
+ - - wandb_tags
81
+ - []
82
+ - - yaml_file
83
+ - null
config.yml ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ !!python/object/apply:collections.OrderedDict
2
+ - - - batch_size
3
+ - 64
4
+ - - gamma
5
+ - 0.99
6
+ - - learning_rate
7
+ - 0.0001
8
+ - - n_timesteps
9
+ - 1000000.0
10
+ - - noise_std
11
+ - 0.3
12
+ - - noise_type
13
+ - ornstein-uhlenbeck
14
+ - - policy
15
+ - MlpPolicy
16
+ - - policy_kwargs
17
+ - dict(net_arch=dict(pi=[300, 200], qf=[400, 300]))
ddpg-HumanoidRunPureStateDMC-v0.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71ee4c412ef2fef0a87152fcc1900b0f5d90a9048a11a8185c1d1f0674efd8ca
3
+ size 3767892
ddpg-HumanoidRunPureStateDMC-v0/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 1.7.0
ddpg-HumanoidRunPureStateDMC-v0/actor.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf85286693f4736beb44e259918e9f654d8cdc013950a9fd3f2e9337166aa917
3
+ size 654511
ddpg-HumanoidRunPureStateDMC-v0/critic.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11395ee5bb12da4b4968b40738a45874d1b6f0b1d4132ddb557997bcfc73f90c
3
+ size 1215855
ddpg-HumanoidRunPureStateDMC-v0/data ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "policy_class": {
3
+ ":type:": "<class 'abc.ABCMeta'>",
4
+ ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=",
5
+ "__module__": "stable_baselines3.td3.policies",
6
+ "__doc__": "\n Policy class (with both actor and critic) for TD3.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ",
7
+ "__init__": "<function TD3Policy.__init__ at 0x13a15c280>",
8
+ "_build": "<function TD3Policy._build at 0x13a15c310>",
9
+ "_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x13a15c3a0>",
10
+ "make_actor": "<function TD3Policy.make_actor at 0x13a15c430>",
11
+ "make_critic": "<function TD3Policy.make_critic at 0x13a15c4c0>",
12
+ "forward": "<function TD3Policy.forward at 0x13a15c550>",
13
+ "_predict": "<function TD3Policy._predict at 0x13a15c5e0>",
14
+ "set_training_mode": "<function TD3Policy.set_training_mode at 0x13a15c670>",
15
+ "__abstractmethods__": "frozenset()",
16
+ "_abc_impl": "<_abc._abc_data object at 0x139d89480>"
17
+ },
18
+ "verbose": 1,
19
+ "policy_kwargs": {
20
+ "net_arch": {
21
+ "pi": [
22
+ 300,
23
+ 200
24
+ ],
25
+ "qf": [
26
+ 400,
27
+ 300
28
+ ]
29
+ },
30
+ "n_critics": 1
31
+ },
32
+ "observation_space": {
33
+ ":type:": "<class 'gym.spaces.box.Box'>",
34
+ ":serialized:": "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",
35
+ "dtype": "float32",
36
+ "_shape": [
37
+ 55
38
+ ],
39
+ "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
40
+ "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf]",
41
+ "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False]",
42
+ "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False False False False]",
43
+ "_np_random": "RandomState(MT19937)"
44
+ },
45
+ "action_space": {
46
+ ":type:": "<class 'gym.spaces.box.Box'>",
47
+ ":serialized:": "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",
48
+ "dtype": "float32",
49
+ "_shape": [
50
+ 21
51
+ ],
52
+ "low": "[-1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n -1. -1. -1.]",
53
+ "high": "[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]",
54
+ "bounded_below": "[ True True True True True True True True True True True True\n True True True True True True True True True]",
55
+ "bounded_above": "[ True True True True True True True True True True True True\n True True True True True True True True True]",
56
+ "_np_random": "RandomState(MT19937)"
57
+ },
58
+ "n_envs": 1,
59
+ "num_timesteps": 1000000,
60
+ "_total_timesteps": 1000000,
61
+ "_num_timesteps_at_start": 0,
62
+ "seed": 0,
63
+ "action_noise": {
64
+ ":type:": "<class 'stable_baselines3.common.noise.OrnsteinUhlenbeckActionNoise'>",
65
+ ":serialized:": "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",
66
+ "_theta": 0.15,
67
+ "_mu": "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]",
68
+ "_sigma": "[0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3\n 0.3 0.3 0.3]",
69
+ "_dt": 0.01,
70
+ "initial_noise": null,
71
+ "noise_prev": "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]"
72
+ },
73
+ "start_time": 1673811077812268637,
74
+ "learning_rate": {
75
+ ":type:": "<class 'function'>",
76
+ ":serialized:": "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"
77
+ },
78
+ "tensorboard_log": "runs/HumanoidRunPureStateDMC-v0__ddpg__3040844257__1673811072/HumanoidRunPureStateDMC-v0",
79
+ "lr_schedule": {
80
+ ":type:": "<class 'function'>",
81
+ ":serialized:": "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"
82
+ },
83
+ "_last_obs": null,
84
+ "_last_episode_starts": {
85
+ ":type:": "<class 'numpy.ndarray'>",
86
+ ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAAGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
87
+ },
88
+ "_last_original_obs": {
89
+ ":type:": "<class 'numpy.ndarray'>",
90
+ ":serialized:": "gAWVUQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJbcAAAAAAAAALEJO7+7E6C7NdYyPixQsj4Gbms8LboevzrxM78jMko/7CHFvmrJI7/w34I9A0CHv7bKOD3iRjU9ZVhpP20YYT8WBCq+iTYfP0+FgD6EBDM9TIRhvzJUGj68676/bdt/P6kuyr/KDYe/5ZrKvUg5Zz8GYqw9Vxh9vvjF1b0Qo6+/5rjhP7LvrL5fbHy+XBSVwF0XIj54CCbAqjwkPYrMEUDYcxy9hHymv+5tPT35LxdAGM4qPsXWLkDiNy6+s9DZPFEJR0EvYja9FJ+Gv9uGq7wZwuY99hiLQMK0TL+UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLN4aUjAFDlHSUUpQu"
91
+ },
92
+ "_episode_num": 1000,
93
+ "use_sde": false,
94
+ "sde_sample_freq": -1,
95
+ "_current_progress_remaining": 0.0,
96
+ "ep_info_buffer": {
97
+ ":type:": "<class 'collections.deque'>",
98
+ ":serialized:": "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"
99
+ },
100
+ "ep_success_buffer": {
101
+ ":type:": "<class 'collections.deque'>",
102
+ ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
103
+ },
104
+ "_n_updates": 1000000,
105
+ "buffer_size": 1,
106
+ "batch_size": 64,
107
+ "learning_starts": 100,
108
+ "tau": 0.005,
109
+ "gamma": 0.99,
110
+ "gradient_steps": -1,
111
+ "optimize_memory_usage": false,
112
+ "replay_buffer_class": {
113
+ ":type:": "<class 'abc.ABCMeta'>",
114
+ ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==",
115
+ "__module__": "stable_baselines3.common.buffers",
116
+ "__doc__": "\n Replay buffer used in off-policy algorithms like SAC/TD3.\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device: PyTorch device\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n of the replay buffer which reduces by almost a factor two the memory used,\n at a cost of more complexity.\n See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n Cannot be used in combination with handle_timeout_termination.\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ",
117
+ "__init__": "<function ReplayBuffer.__init__ at 0x13a15add0>",
118
+ "add": "<function ReplayBuffer.add at 0x13a15ae60>",
119
+ "sample": "<function ReplayBuffer.sample at 0x13a15aef0>",
120
+ "_get_samples": "<function ReplayBuffer._get_samples at 0x13a15af80>",
121
+ "__abstractmethods__": "frozenset()",
122
+ "_abc_impl": "<_abc._abc_data object at 0x13a0f9cc0>"
123
+ },
124
+ "replay_buffer_kwargs": {},
125
+ "train_freq": {
126
+ ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
127
+ ":serialized:": "gAWVZAAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMB2VwaXNvZGWUhZRSlIaUgZQu"
128
+ },
129
+ "use_sde_at_warmup": false,
130
+ "policy_delay": 1,
131
+ "target_noise_clip": 0.0,
132
+ "target_policy_noise": 0.1,
133
+ "actor_batch_norm_stats": [],
134
+ "critic_batch_norm_stats": [],
135
+ "actor_batch_norm_stats_target": [],
136
+ "critic_batch_norm_stats_target": []
137
+ }
ddpg-HumanoidRunPureStateDMC-v0/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df49734a742f47929287cec3ef6869ab0663363fdb8632ab6b5392903bb67596
3
+ size 1868701
ddpg-HumanoidRunPureStateDMC-v0/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
3
+ size 431
ddpg-HumanoidRunPureStateDMC-v0/system_info.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ - OS: macOS-13.0.1-arm64-arm-64bit Darwin Kernel Version 22.1.0: Sun Oct 9 20:14:30 PDT 2022; root:xnu-8792.41.9~2/RELEASE_ARM64_T8103
2
+ - Python: 3.10.9
3
+ - Stable-Baselines3: 1.7.0
4
+ - PyTorch: 1.13.1
5
+ - GPU Enabled: False
6
+ - Numpy: 1.24.1
7
+ - Gym: 0.21.0
env_kwargs.yml ADDED
@@ -0,0 +1 @@
 
 
1
+ {}
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c040db2754fc765f5505f2d5223a7cbf18090ea70fe2730ba10be2edcc9aac81
3
+ size 1190085
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 0.9118572, "std_reward": 0.49402109405243017, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-16T09:06:50.562534"}
train_eval_metrics.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:397d515d8687e3d89e0d3209517a16102e733bc157db7dc973ff7ba0c9b9c27c
3
+ size 40954