First agent RL

.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: 265.26 +/- 16.62
+      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 0x7e1f0f8be340>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e1f0f8be3e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e1f0f8be480>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e1f0f8be520>", "_build": "<function ActorCriticPolicy._build at 0x7e1f0f8be5c0>", "forward": "<function ActorCriticPolicy.forward at 0x7e1f0f8be660>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e1f0f8be700>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e1f0f8be7a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7e1f0f8be840>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e1f0f8be8e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e1f0f8be980>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e1f0f8bea20>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e1f1009a640>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1114112, "_total_timesteps": 1100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1755354321277250735, "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:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.012829090909090901, "_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": 272, "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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu", "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-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025", "Python": "3.11.13", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.6.0+cu124", "GPU Enabled": "True", "Numpy": "2.0.2", "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 sha256:958c6755c582f9df10fb93c9c517694a26b9e6c5ebdf37ae5b0c51b70899e443
+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 0x7e1f0f8be340>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e1f0f8be3e0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e1f0f8be480>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e1f0f8be520>",
+        "_build": "<function ActorCriticPolicy._build at 0x7e1f0f8be5c0>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7e1f0f8be660>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e1f0f8be700>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e1f0f8be7a0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7e1f0f8be840>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e1f0f8be8e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e1f0f8be980>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e1f0f8bea20>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc._abc_data object at 0x7e1f1009a640>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {},
+    "num_timesteps": 1114112,
+    "_total_timesteps": 1100000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1755354321277250735,
+    "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:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
+    },
+    "_last_original_obs": null,
+    "_episode_num": 0,
+    "use_sde": false,
+    "sde_sample_freq": -1,
+    "_current_progress_remaining": -0.012829090909090901,
+    "_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": 272,
+    "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:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu",
+        "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:": "gAWV1gIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjExL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUS4RDCPiAANgPEogKlEMAlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTEvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCF9lH2UKGgYjARmdW5jlIwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBmMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzOpKjBVMmGFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="
+    }
+}

ppo-LunarLander-v2/policy.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e91059cd99786213dd51d25e106dcd1d8e8b9352ee783be89aca5b6a5082c21e
+size 88362

ppo-LunarLander-v2/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:958262743f454a5a9caa98fde6cf4374a35fd9ab910ddee1b7ea88f1469cf407
+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-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025
+- Python: 3.11.13
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.6.0+cu124
+- GPU Enabled: True
+- Numpy: 2.0.2
+- 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:f3efec76e39d70f7ab04d23c1ad57ab35ba776f1d4d4222e063bd27a10b7d8f3
+size 165649

results.json

@@ -0,0 +1 @@
+{"mean_reward": 265.2556637, "std_reward": 16.620289373482315, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-16T14:47:51.716211"}