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: 282.65 +/- 18.84
+      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 0x7c806fd33c40>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c806fd33ce0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c806fd33d80>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c806fd33e20>", "_build": "<function ActorCriticPolicy._build at 0x7c806fd33ec0>", "forward": "<function ActorCriticPolicy.forward at 0x7c806fd33f60>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c806fd38040>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c806fd380e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7c806fd38180>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c806fd38220>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c806fd382c0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c806fd38360>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c806fe09740>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1742141134068589849, "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": "2.6.0+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 sha256:4ce94703e0da21b583790ff0ea17e681b7ddfd8ae29bb3e62dd82e4a6cc66d30
+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 0x7c806fd33c40>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7c806fd33ce0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7c806fd33d80>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7c806fd33e20>",
+        "_build": "<function ActorCriticPolicy._build at 0x7c806fd33ec0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7c806fd33f60>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7c806fd38040>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7c806fd380e0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7c806fd38180>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7c806fd38220>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7c806fd382c0>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7c806fd38360>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7c806fe09740>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {},
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1742141134068589849,
+    "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:cfbd5f3621edd8768c3080c0463a085f6ee909473d5306988d2bec1098306277
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83444fbdbf2032d616498ca49e17c89aee48f96ce0e5af1c912e987d0d0bce6c
+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: 2.6.0+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:c48ab72e71b9a65ec96d9355f6e151607f3748882e510e42859d3fa6331e727b
+size 172365

results.json

@@ -0,0 +1 @@
+{"mean_reward": 282.6539087933447, "std_reward": 18.83842069015226, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-03-16T16:36:15.928146"}