Upload dqn LunarLander-v2 trained agent
Browse files- README.md +37 -0
- config.json +1 -0
- dqn-LunarLander-v2.zip +3 -0
- dqn-LunarLander-v2/_stable_baselines3_version +1 -0
- dqn-LunarLander-v2/data +121 -0
- dqn-LunarLander-v2/policy.optimizer.pth +3 -0
- dqn-LunarLander-v2/policy.pth +3 -0
- dqn-LunarLander-v2/pytorch_variables.pth +3 -0
- dqn-LunarLander-v2/system_info.txt +9 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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---
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library_name: stable-baselines3
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tags:
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- LunarLander-v2
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: DQN
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: LunarLander-v2
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: -45.72 +/- 19.48
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name: mean_reward
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verified: false
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---
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# **DQN** Agent playing **LunarLander-v2**
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This is a trained model of a **DQN** agent playing **LunarLander-v2**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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```python
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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...
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```
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config.json
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ADDED
@@ -0,0 +1,9 @@
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- OS: Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
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- Python: 3.10.12
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- Stable-Baselines3: 2.0.0a5
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- PyTorch: 2.1.0+cu121
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- GPU Enabled: True
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- Numpy: 1.25.2
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- Cloudpickle: 2.2.1
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- Gymnasium: 0.28.1
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- OpenAI Gym: 0.25.2
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replay.mp4
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Binary file (160 kB). View file
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results.json
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{"mean_reward": -45.723867999999996, "std_reward": 19.47522835568582, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-02-25T04:30:28.158736"}
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