suppabob commited on
Commit
9fe5ca8
1 Parent(s): 6f18a9d

LunarLander-v2 trained agent

Browse files
.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
28
+ *.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - metrics:
12
+ - type: mean_reward
13
+ value: 218.36 +/- 65.70
14
+ name: mean_reward
15
+ task:
16
+ type: reinforcement-learning
17
+ name: reinforcement-learning
18
+ dataset:
19
+ name: LunarLander-v2
20
+ type: LunarLander-v2
21
+ ---
22
+
23
+ # **PPO** Agent playing **LunarLander-v2**
24
+ This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
25
+
26
+ ## Usage (with Stable-baselines3)
27
+ TODO: Add your code
28
+
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 0x7f6a40d9f4d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6a40d9f560>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6a40d9f5f0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6a40d9f680>", "_build": "<function ActorCriticPolicy._build at 0x7f6a40d9f710>", "forward": "<function ActorCriticPolicy.forward at 0x7f6a40d9f7a0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6a40d9f830>", "_predict": "<function ActorCriticPolicy._predict at 0x7f6a40d9f8c0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6a40d9f950>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6a40d9f9e0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6a40d9fa70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f6a40dd9f60>"}, "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": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652121702.7838886, "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": 124, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
ppo-LunarLander-v2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2a6ee09fbea63c250f78a9c8416b935b26330fbd677d103687f1182cc3a85dd
3
+ size 144028
ppo-LunarLander-v2/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 1.5.0
ppo-LunarLander-v2/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 0x7f6a40d9f4d0>",
8
+ "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6a40d9f560>",
9
+ "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6a40d9f5f0>",
10
+ "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6a40d9f680>",
11
+ "_build": "<function ActorCriticPolicy._build at 0x7f6a40d9f710>",
12
+ "forward": "<function ActorCriticPolicy.forward at 0x7f6a40d9f7a0>",
13
+ "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6a40d9f830>",
14
+ "_predict": "<function ActorCriticPolicy._predict at 0x7f6a40d9f8c0>",
15
+ "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6a40d9f950>",
16
+ "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6a40d9f9e0>",
17
+ "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6a40d9fa70>",
18
+ "__abstractmethods__": "frozenset()",
19
+ "_abc_impl": "<_abc_data object at 0x7f6a40dd9f60>"
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": 507904,
46
+ "_total_timesteps": 500000,
47
+ "_num_timesteps_at_start": 0,
48
+ "seed": null,
49
+ "action_noise": null,
50
+ "start_time": 1652121702.7838886,
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": 124,
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/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64485b1fdd458ed8128ce130f445f9e38e6c7ba24063ad5c56ed3f8e28e06079
3
+ size 84829
ppo-LunarLander-v2/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:caa179b1eac2ecb73efe431526bb7a309cf0e219ddd08e865cd13e97664b3ce8
3
+ size 43201
ppo-LunarLander-v2/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/system_info.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
2
+ Python: 3.7.13
3
+ Stable-Baselines3: 1.5.0
4
+ PyTorch: 1.11.0+cu113
5
+ GPU Enabled: True
6
+ Numpy: 1.21.6
7
+ Gym: 0.21.0
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d94e40505060caefb084bb0c1a81b48371dcbed256ff5c2ab9c0bddfe3bf713
3
+ size 248911
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 218.36163496403415, "std_reward": 65.70239772250126, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-09T18:55:22.820070"}