ALEXIOSTER commited on
Commit
c5aa018
·
verified ·
1 Parent(s): 2144da0

Upload PPO LunarLander-v2 trained agent

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ replay.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - LunarLander-v2
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: PPO
10
+ results:
11
+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
15
+ name: LunarLander-v2
16
+ type: LunarLander-v2
17
+ metrics:
18
+ - type: mean_reward
19
+ value: 268.42 +/- 14.60
20
+ name: mean_reward
21
+ verified: false
22
+ ---
23
+
24
+ # **PPO** Agent playing **LunarLander-v2**
25
+ This is a trained model of a **PPO** agent playing **LunarLander-v2**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
27
+
28
+ ## Usage (with Stable-baselines3)
29
+ TODO: Add your code
30
+
31
+
32
+ ```python
33
+ from stable_baselines3 import ...
34
+ from huggingface_sb3 import load_from_hub
35
+
36
+ ...
37
+ ```
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\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 ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7ead5aca4860>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ead5aca4900>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ead5aca49a0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ead5aca4a40>", "_build": "<function ActorCriticPolicy._build at 0x7ead5aca4ae0>", "forward": "<function ActorCriticPolicy.forward at 0x7ead5aca4b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ead5aca4c20>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ead5aca4cc0>", "_predict": "<function ActorCriticPolicy._predict at 0x7ead5aca4d60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ead5aca4e00>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ead5aca4ea0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ead5aca4f40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ead5ac06fc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1741712794568438013, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 351, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.11.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu124", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
ppo-LunarLander-v2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e45f29c0ea0da5468d58004d0a9b3557e4655d84fbc6fc9641a1e19868faffe
3
+ size 148060
ppo-LunarLander-v2/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 2.0.0a5
ppo-LunarLander-v2/data ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "policy_class": {
3
+ ":type:": "<class 'abc.ABCMeta'>",
4
+ ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
5
+ "__module__": "stable_baselines3.common.policies",
6
+ "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\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 ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ",
7
+ "__init__": "<function ActorCriticPolicy.__init__ at 0x7ead5aca4860>",
8
+ "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ead5aca4900>",
9
+ "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ead5aca49a0>",
10
+ "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ead5aca4a40>",
11
+ "_build": "<function ActorCriticPolicy._build at 0x7ead5aca4ae0>",
12
+ "forward": "<function ActorCriticPolicy.forward at 0x7ead5aca4b80>",
13
+ "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ead5aca4c20>",
14
+ "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ead5aca4cc0>",
15
+ "_predict": "<function ActorCriticPolicy._predict at 0x7ead5aca4d60>",
16
+ "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ead5aca4e00>",
17
+ "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ead5aca4ea0>",
18
+ "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ead5aca4f40>",
19
+ "__abstractmethods__": "frozenset()",
20
+ "_abc_impl": "<_abc._abc_data object at 0x7ead5ac06fc0>"
21
+ },
22
+ "verbose": 1,
23
+ "policy_kwargs": {},
24
+ "num_timesteps": 1015808,
25
+ "_total_timesteps": 1000000,
26
+ "_num_timesteps_at_start": 0,
27
+ "seed": null,
28
+ "action_noise": null,
29
+ "start_time": 1741712794568438013,
30
+ "learning_rate": 0.0003,
31
+ "tensorboard_log": null,
32
+ "_last_obs": {
33
+ ":type:": "<class 'numpy.ndarray'>",
34
+ ":serialized:": "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"
35
+ },
36
+ "_last_episode_starts": {
37
+ ":type:": "<class 'numpy.ndarray'>",
38
+ ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
39
+ },
40
+ "_last_original_obs": null,
41
+ "_episode_num": 0,
42
+ "use_sde": false,
43
+ "sde_sample_freq": -1,
44
+ "_current_progress_remaining": -0.015808000000000044,
45
+ "_stats_window_size": 100,
46
+ "ep_info_buffer": {
47
+ ":type:": "<class 'collections.deque'>",
48
+ ":serialized:": "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"
49
+ },
50
+ "ep_success_buffer": {
51
+ ":type:": "<class 'collections.deque'>",
52
+ ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
53
+ },
54
+ "_n_updates": 351,
55
+ "observation_space": {
56
+ ":type:": "<class 'gymnasium.spaces.box.Box'>",
57
+ ":serialized:": "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",
58
+ "dtype": "float32",
59
+ "bounded_below": "[ True True True True True True True True]",
60
+ "bounded_above": "[ True True True True True True True True]",
61
+ "_shape": [
62
+ 8
63
+ ],
64
+ "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
65
+ "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
66
+ "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
67
+ "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
68
+ "_np_random": null
69
+ },
70
+ "action_space": {
71
+ ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
72
+ ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
73
+ "n": "4",
74
+ "start": "0",
75
+ "_shape": [],
76
+ "dtype": "int64",
77
+ "_np_random": null
78
+ },
79
+ "n_envs": 16,
80
+ "n_steps": 1024,
81
+ "gamma": 0.999,
82
+ "gae_lambda": 0.98,
83
+ "ent_coef": 0.01,
84
+ "vf_coef": 0.5,
85
+ "max_grad_norm": 0.5,
86
+ "batch_size": 64,
87
+ "n_epochs": 4,
88
+ "clip_range": {
89
+ ":type:": "<class 'function'>",
90
+ ":serialized:": "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"
91
+ },
92
+ "clip_range_vf": null,
93
+ "normalize_advantage": true,
94
+ "target_kl": null,
95
+ "lr_schedule": {
96
+ ":type:": "<class 'function'>",
97
+ ":serialized:": "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"
98
+ }
99
+ }
ppo-LunarLander-v2/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d814df366ebc1ebfa8251e2bb7e5d1992892449b6c840c3fdb16512eb130520
3
+ size 88362
ppo-LunarLander-v2/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d57ccf4a533226ea058e955384bc51758827345af04ae92dbc57830a04fd141
3
+ size 43762
ppo-LunarLander-v2/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
3
+ size 864
ppo-LunarLander-v2/system_info.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ - OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024
2
+ - Python: 3.11.11
3
+ - Stable-Baselines3: 2.0.0a5
4
+ - PyTorch: 2.5.1+cu124
5
+ - GPU Enabled: True
6
+ - Numpy: 1.26.4
7
+ - Cloudpickle: 3.1.1
8
+ - Gymnasium: 0.28.1
9
+ - OpenAI Gym: 0.25.2
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a7f20944f96a8600f97de42ad2e7d5829bbfa0f05a64ddef32c451fe51747e5
3
+ size 154498
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 268.4226764, "std_reward": 14.598021678679528, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-03-11T17:24:46.694721"}