Upload PPO LunarLander-v2 trained agent

README.md

@@ -1,11 +1,10 @@
 ---
+library_name: stable-baselines3
 tags:
 - LunarLander-v2
-- ppo
 - deep-reinforcement-learning
 - reinforcement-learning
-- custom-implementation
-- deep-rl-course
+- stable-baselines3
 model-index:
 - name: PPO
   results:
@@ -17,14 +16,22 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -134.46 +/- 73.69
+      value: 237.56 +/- 18.95
       name: mean_reward
       verified: false
 ---
 
-  # PPO Agent Playing LunarLander-v2
+# **PPO** Agent playing **LunarLander-v2**
+This is a trained model of a **PPO** agent playing **LunarLander-v2**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
-  This is a trained model of a PPO agent playing LunarLander-v2.
+## Usage (with Stable-baselines3)
+TODO: Add your code
 
-  # Hyperparameters
-  
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

@@ -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 0x7fd297e56430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd297e564c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd297e56550>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd297e565e0>", "_build": "<function ActorCriticPolicy._build at 0x7fd297e56670>", "forward": "<function ActorCriticPolicy.forward at 0x7fd297e56700>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd297e56790>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd297e56820>", "_predict": "<function ActorCriticPolicy._predict at 0x7fd297e568b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd297e56940>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd297e569d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd297e56a60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd297e52570>"}, "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": 1677013455267900593, "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": 248, "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-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}
+{"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 0x7f6010620550>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f60106205e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6010620670>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6010620700>", "_build": "<function ActorCriticPolicy._build at 0x7f6010620790>", "forward": "<function ActorCriticPolicy.forward at 0x7f6010620820>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f60106208b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6010620940>", "_predict": "<function ActorCriticPolicy._predict at 0x7f60106209d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6010620a60>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6010620af0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6010620b80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f601061d480>"}, "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": 1677080212386560600, "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": 248, "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-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:540965f394006698ceda4be73173b16b687dc9a2e57fb1990eb88cb6fbe9353d
-size 147424
+oid sha256:aac8fa63e4d35efcb8470ec84589664d0b23d4368b338c4040cc9d90087604ff
+size 147420

ppo-LunarLander-v2/data

@@ -4,20 +4,20 @@
         ":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 0x7fd297e56430>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd297e564c0>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd297e56550>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd297e565e0>",
-        "_build": "<function ActorCriticPolicy._build at 0x7fd297e56670>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7fd297e56700>",
-        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd297e56790>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd297e56820>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7fd297e568b0>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd297e56940>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd297e569d0>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd297e56a60>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7f6010620550>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f60106205e0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6010620670>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6010620700>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f6010620790>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f6010620820>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f60106208b0>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6010620940>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f60106209d0>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6010620a60>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6010620af0>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6010620b80>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc_data object at 0x7fd297e52570>"
+        "_abc_impl": "<_abc_data object at 0x7f601061d480>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -48,7 +48,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1677013455267900593,
+    "start_time": 1677080212386560600,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -57,7 +57,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -70,7 +70,7 @@
     "_current_progress_remaining": -0.015808000000000044,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75e44d519b39ce24cefdd8b55c5202cc66efc2cca32fd0ee276cafb98420139f
+oid sha256:1d8e35c85fcdb5272772e0cd9a36d7208edf46f5bc5d3956b22855c62e13f71e
 size 87929

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6f66d24330974928aedad056b984b82a2cddff71e0b03858de9f2a5d1cbb4b1
+oid sha256:5fefb8816124cea508b26268d165ce3af81afbd1ab87adba3e08a30e46fb2cca
 size 43393

results.json

@@ -1 +1 @@
-{"env_id": "LunarLander-v2", "mean_reward": -134.45626833451644, "std_reward": 73.68591787445878, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-22T07:51:50.990440"}
+{"mean_reward": 237.55512692335873, "std_reward": 18.950642188963116, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-22T15:56:25.468586"}