Upload PPO LunarLander-v2 trained agent

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

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: 247.57 +/- 23.61
+      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 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 0x7a028ed4bba0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a028ed4bc40>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a028ed4bce0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a028ed4bd80>", "_build": "<function ActorCriticPolicy._build at 0x7a028ed4be20>", "forward": "<function ActorCriticPolicy.forward at 0x7a028ed4bec0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a028ed4bf60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a028ed50040>", "_predict": "<function ActorCriticPolicy._predict at 0x7a028ed500e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a028ed50180>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a028ed50220>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a028ed502c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7a028f6196c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1738591176899640990, "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": 248, "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:730d18d16cfa2922145d214f797d6b7381b38e039a6b34888da9c6c9302cce63
+size 148128

ppo-LunarLander-v2/_stable_baselines3_version

@@ -0,0 +1 @@
+2.0.0a5

ppo-LunarLander-v2/data

@@ -0,0 +1,99 @@
+{
+    "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 0x7a028ed4bba0>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a028ed4bc40>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a028ed4bce0>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a028ed4bd80>",
+        "_build": "<function ActorCriticPolicy._build at 0x7a028ed4be20>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7a028ed4bec0>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a028ed4bf60>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a028ed50040>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7a028ed500e0>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a028ed50180>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a028ed50220>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a028ed502c0>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7a028f6196c0>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {},
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1738591176899640990,
+    "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": 248,
+    "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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"
+    }
+}

ppo-LunarLander-v2/policy.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:255486c8051a61d14e28c8fb64151e741094c9cca9705e740e26e92524e19d93
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:304b45e87ec6c98db4a25e1ee586f59ae0d89b36580cbc581b2020ef818f063a
+size 43762

ppo-LunarLander-v2/pytorch_variables.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
+size 864

ppo-LunarLander-v2/system_info.txt

@@ -0,0 +1,9 @@
+- 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

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ed42bec7f29949667f593d560a685d1ace513d69967fb1c1ed6d6a045cbafe6
+size 179512

results.json

@@ -0,0 +1 @@
+{"mean_reward": 247.57118151698955, "std_reward": 23.61002189626511, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-03T14:32:33.501317"}