first train: 100000 iters

.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: 272.64 +/- 17.37
+      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 0x7b4d965145e0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b4d96514670>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b4d96514700>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b4d96514790>", "_build": "<function ActorCriticPolicy._build at 0x7b4d96514820>", "forward": "<function ActorCriticPolicy.forward at 0x7b4d965148b0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b4d96514940>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b4d965149d0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b4d96514a60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b4d96514af0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b4d96514b80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b4d96514c10>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b4d98c1dc40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1745082391490214264, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 310, "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": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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-6.8.0-52-generic-x86_64-with-glibc2.35 # 53~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Jan 15 19:18:46 UTC 2", "Python": "3.10.16", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.2+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1"}}

ppo-LunarLander-v2.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a9f9526ae7d8217a8d325144cb4bcb778d787f931c9ca07060e4aadf20ac857
+size 148096

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 0x7b4d965145e0>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b4d96514670>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b4d96514700>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b4d96514790>",
+        "_build": "<function ActorCriticPolicy._build at 0x7b4d96514820>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7b4d965148b0>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b4d96514940>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b4d965149d0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7b4d96514a60>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b4d96514af0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b4d96514b80>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b4d96514c10>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7b4d98c1dc40>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {},
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1745082391490214264,
+    "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 310,
+    "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": 2048,
+    "gamma": 0.99,
+    "gae_lambda": 0.95,
+    "ent_coef": 0.0,
+    "vf_coef": 0.5,
+    "max_grad_norm": 0.5,
+    "batch_size": 64,
+    "n_epochs": 10,
+    "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 sha256:1bf82ccdcf776d62ca1d24bedd6a89dc61786fe025f28873c0ac41341adebbca
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1359383b0fc13857c827ec473f3ed6da73cf0a8e000bc967fefdfa0739138aef
+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 +1,8 @@
+- OS: Linux-6.8.0-52-generic-x86_64-with-glibc2.35 # 53~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Jan 15 19:18:46 UTC 2
+- Python: 3.10.16
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.1.2+cu121
+- GPU Enabled: True
+- Numpy: 1.26.4
+- Cloudpickle: 3.1.1
+- Gymnasium: 0.28.1

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a3f24e350f025f61916b54f5973aa8e841fe50fbc0271f3164c82c58bc38c11
+size 161778

results.json

@@ -0,0 +1 @@
+{"mean_reward": 272.6369796, "std_reward": 17.370889955689716, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-04-20T02:29:58.421761"}