first ever model upload

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: 250.18 +/- 16.81
+ 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

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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 0x7f398c147640>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f398c1476d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f398c147760>", 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ppo-lunaLander-v2.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:161b055f720f0066be9628e51329edd26d99dacd0fe258cd53fb5b6df7dc5339
+size 146735

ppo-lunaLander-v2/_stable_baselines3_version

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+2.0.0a5

ppo-lunaLander-v2/data

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+{
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+- OS: Linux-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023
+- Python: 3.10.12
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.0.1+cu118
+- GPU Enabled: True
+- Numpy: 1.22.4
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.25.2

results.json

@@ -0,0 +1 @@
+{"mean_reward": 250.1819092, "std_reward": 16.814546202451062, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-06-24T10:48:38.323843"}