Upload PPO LunarLander-v2 trained agent

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: -159.71 +/- 33.02
+      name: mean_reward
+      verified: false
+---
+
+# **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).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

@@ -0,0 +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 0x7f51fe587b80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f51fe587c10>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f51fe587ca0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f51fe587d30>", "_build": "<function ActorCriticPolicy._build at 0x7f51fe587dc0>", "forward": "<function ActorCriticPolicy.forward at 0x7f51fe587e50>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f51fe587ee0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f51fe587f70>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f51fe589040>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f51fe5890d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f51fe589160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f51fe5862a0>"}, "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:": "gAWVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=", "n": 4, "shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670787212224339647, "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": -0.1468799999999999, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 28, "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": "3.8.16", "Stable-Baselines3": "1.6.2", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.17.3"}}

ppo-LunarLander-v2.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39bf127cabcbaf2f49bc28f29b34739d7cdf218dd32935272f9eafee64e5663e
+size 147071

ppo-LunarLander-v2/_stable_baselines3_version

@@ -0,0 +1 @@
+1.6.2

ppo-LunarLander-v2/data

@@ -0,0 +1,94 @@
+{
+    "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 0x7f51fe587b80>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f51fe587c10>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f51fe587ca0>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f51fe587d30>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f51fe587dc0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f51fe587e50>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f51fe587ee0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f51fe587f70>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f51fe589040>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f51fe5890d0>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f51fe589160>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7f51fe5862a0>"
+    },
+    "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:": "gAWVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=",
+        "n": 4,
+        "shape": [],
+        "dtype": "int64",
+        "_np_random": null
+    },
+    "n_envs": 16,
+    "num_timesteps": 114688,
+    "_total_timesteps": 100000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1670787212224339647,
+    "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": -0.1468799999999999,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "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"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+    },
+    "_n_updates": 28,
+    "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
+}

ppo-LunarLander-v2/policy.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be461ea5cab1e0d5d96119991ca78ee9bbc4b1b29fffec303cd394b256ccf2cb
+size 87929

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bc5aac06d6ca2a6d16e7ba554b2702ba97f2fb4c5f3130c7f01b670532c515c
+size 43201

ppo-LunarLander-v2/pytorch_variables.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
+size 431

ppo-LunarLander-v2/system_info.txt

@@ -0,0 +1,7 @@
+OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
+Python: 3.8.16
+Stable-Baselines3: 1.6.2
+PyTorch: 1.13.0+cu116
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.17.3

results.json

@@ -0,0 +1 @@
+{"mean_reward": -159.71423387479734, "std_reward": 33.016394775807385, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-11T19:35:24.259616"}