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DQN-FlappyBird-v0.zip

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DQN-FlappyBird-v0/_stable_baselines3_version

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+2.1.0

DQN-FlappyBird-v0/data

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+    }
+}

DQN-FlappyBird-v0/policy.optimizer.pth

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+size 45807

DQN-FlappyBird-v0/policy.pth

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DQN-FlappyBird-v0/pytorch_variables.pth

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DQN-FlappyBird-v0/system_info.txt

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+- OS: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Jan 27 02:56:13 UTC 2023
+- Python: 3.10.6
+- Stable-Baselines3: 2.1.0
+- PyTorch: 2.0.1+cu117
+- GPU Enabled: False
+- Numpy: 1.25.1
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.26.2

README.md

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+---
+library_name: stable-baselines3
+tags:
+- FlappyBird-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: FlappyBird-v0
+      type: FlappyBird-v0
+    metrics:
+    - type: mean_reward
+      value: 9.53 +/- 1.04
+      name: mean_reward
+      verified: false
+---
+
+# **DQN** Agent playing **FlappyBird-v0**
+This is a trained model of a **DQN** agent playing **FlappyBird-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": 9.530000153928995, "std_reward": 1.0354226285014776, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-11-05T15:56:41.248190"}