nidek commited on
Commit
742e49d
1 Parent(s): 8a2fbdd

LunarLander-v2

Browse files
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: 282.07 +/- 14.88
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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7efc9d345160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7efc9d3451f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7efc9d345280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7efc9d345310>", "_build": "<function ActorCriticPolicy._build at 0x7efc9d3453a0>", "forward": "<function ActorCriticPolicy.forward at 0x7efc9d345430>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7efc9d3454c0>", "_predict": "<function ActorCriticPolicy._predict at 0x7efc9d345550>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7efc9d3455e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7efc9d345670>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7efc9d345700>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7efc9d340570>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670344341462345208, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_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, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 524, "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, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
ppo-LunarLander-v2_2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f18db7f8df027fe40331239e95eefb06f00d38dbccc81e850476cb74aefdc920
3
+ size 147038
ppo-LunarLander-v2_2/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 1.6.2
ppo-LunarLander-v2_2/data ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7efc9d345160>",
8
+ "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7efc9d3451f0>",
9
+ "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7efc9d345280>",
10
+ "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7efc9d345310>",
11
+ "_build": "<function ActorCriticPolicy._build at 0x7efc9d3453a0>",
12
+ "forward": "<function ActorCriticPolicy.forward at 0x7efc9d345430>",
13
+ "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7efc9d3454c0>",
14
+ "_predict": "<function ActorCriticPolicy._predict at 0x7efc9d345550>",
15
+ "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7efc9d3455e0>",
16
+ "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7efc9d345670>",
17
+ "predict_values": "<function ActorCriticPolicy.predict_values at 0x7efc9d345700>",
18
+ "__abstractmethods__": "frozenset()",
19
+ "_abc_impl": "<_abc_data object at 0x7efc9d340570>"
20
+ },
21
+ "verbose": 1,
22
+ "policy_kwargs": {},
23
+ "observation_space": {
24
+ ":type:": "<class 'gym.spaces.box.Box'>",
25
+ ":serialized:": "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",
26
+ "dtype": "float32",
27
+ "_shape": [
28
+ 8
29
+ ],
30
+ "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
31
+ "high": "[inf inf inf inf inf inf inf inf]",
32
+ "bounded_below": "[False False False False False False False False]",
33
+ "bounded_above": "[False False False False False False False False]",
34
+ "_np_random": null
35
+ },
36
+ "action_space": {
37
+ ":type:": "<class 'gym.spaces.discrete.Discrete'>",
38
+ ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
39
+ "n": 4,
40
+ "_shape": [],
41
+ "dtype": "int64",
42
+ "_np_random": null
43
+ },
44
+ "n_envs": 16,
45
+ "num_timesteps": 1015808,
46
+ "_total_timesteps": 1000000,
47
+ "_num_timesteps_at_start": 0,
48
+ "seed": null,
49
+ "action_noise": null,
50
+ "start_time": 1670344341462345208,
51
+ "learning_rate": 0.0003,
52
+ "tensorboard_log": null,
53
+ "lr_schedule": {
54
+ ":type:": "<class 'function'>",
55
+ ":serialized:": "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"
56
+ },
57
+ "_last_obs": {
58
+ ":type:": "<class 'numpy.ndarray'>",
59
+ ":serialized:": "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"
60
+ },
61
+ "_last_episode_starts": {
62
+ ":type:": "<class 'numpy.ndarray'>",
63
+ ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
64
+ },
65
+ "_last_original_obs": null,
66
+ "_episode_num": 0,
67
+ "use_sde": false,
68
+ "sde_sample_freq": -1,
69
+ "_current_progress_remaining": -0.015808000000000044,
70
+ "ep_info_buffer": {
71
+ ":type:": "<class 'collections.deque'>",
72
+ ":serialized:": "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"
73
+ },
74
+ "ep_success_buffer": {
75
+ ":type:": "<class 'collections.deque'>",
76
+ ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
77
+ },
78
+ "_n_updates": 524,
79
+ "n_steps": 1024,
80
+ "gamma": 0.999,
81
+ "gae_lambda": 0.98,
82
+ "ent_coef": 0.01,
83
+ "vf_coef": 0.5,
84
+ "max_grad_norm": 0.5,
85
+ "batch_size": 64,
86
+ "n_epochs": 4,
87
+ "clip_range": {
88
+ ":type:": "<class 'function'>",
89
+ ":serialized:": "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"
90
+ },
91
+ "clip_range_vf": null,
92
+ "normalize_advantage": true,
93
+ "target_kl": null
94
+ }
ppo-LunarLander-v2_2/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33e3dbbd3519269e94eab6275acbd4cac293a77b0ee0f8f4e0d3cd50107eb92b
3
+ size 87865
ppo-LunarLander-v2_2/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30649742cafca392acf391afe5188553a4528dd6571f7899dfc5304358c650be
3
+ size 43201
ppo-LunarLander-v2_2/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
3
+ size 431
ppo-LunarLander-v2_2/system_info.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
2
+ Python: 3.8.15
3
+ Stable-Baselines3: 1.6.2
4
+ PyTorch: 1.12.1+cu113
5
+ GPU Enabled: True
6
+ Numpy: 1.21.6
7
+ Gym: 0.21.0
replay.mp4 ADDED
Binary file (200 kB). View file
 
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 282.07379435731843, "std_reward": 14.882987137253899, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-06T16:52:14.682166"}