push MountainCar-v0 model

MountainCar-v0.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82f69ba20cf40b9e5c4c7f9a3b3296a8a12e24e05a5f9959196feeb4e5e4089f
+size 99567

MountainCar-v0/_stable_baselines3_version

@@ -0,0 +1 @@
+2.3.2

MountainCar-v0/data

@@ -0,0 +1,123 @@
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+    }
+}

MountainCar-v0/policy.optimizer.pth

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+size 41632

MountainCar-v0/policy.pth

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+size 40754

MountainCar-v0/pytorch_variables.pth

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+size 864

MountainCar-v0/system_info.txt

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+- OS: macOS-14.2.1-arm64-arm-64bit Darwin Kernel Version 23.2.0: Wed Nov 15 21:53:34 PST 2023; root:xnu-10002.61.3~2/RELEASE_ARM64_T8103
+- Python: 3.10.8
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.3.1
+- GPU Enabled: False
+- Numpy: 1.26.2
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.26.2

README.md

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+---
+library_name: stable-baselines3
+tags:
+- MountainCar-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: MountainCar-v0
+      type: MountainCar-v0
+    metrics:
+    - type: mean_reward
+      value: -200.00 +/- 0.00
+      name: mean_reward
+      verified: false
+---
+
+# **DQN** Agent playing **MountainCar-v0**
+This is a trained model of a **DQN** agent playing **MountainCar-v0**
+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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results.json

@@ -0,0 +1 @@
+{"mean_reward": -200.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-07-23T14:44:17.999722"}