Upload MountainCar-v0 trained agent

README.md

@@ -0,0 +1,37 @@
+---
+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: -120.10 +/- 29.30
+      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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dqn-MountainCar-v0/_stable_baselines3_version

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dqn-MountainCar-v0/data

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dqn-MountainCar-v0/policy.optimizer.pth

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dqn-MountainCar-v0/policy.pth

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dqn-MountainCar-v0/pytorch_variables.pth

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dqn-MountainCar-v0/system_info.txt

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+- OS: Linux-5.4.0-132-generic-x86_64-with-glibc2.27 # 148~18.04.1-Ubuntu SMP Mon Oct 24 20:41:14 UTC 2022
+- Python: 3.9.13
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu117
+- GPU Enabled: True
+- Numpy: 1.24.1
+- Gym: 0.21.0

results.json

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+{"mean_reward": -120.1, "std_reward": 29.30341277052897, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-06T22:48:06.572098"}