Push agent to the Hub
Browse files- README.md +33 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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---
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tags:
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- LunarLander-v2
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- ppo
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- deep-reinforcement-learning
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- reinforcement-learning
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- custom-implementation
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- deep-rl-course
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model-index:
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- name: PPO
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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: 128.25 +/- 87.02
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name: mean_reward
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verified: false
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---
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# PPO Agent Playing LunarLander-v2
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This is a trained model of a PPO agent playing LunarLander-v2.
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# Hyperparameters
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```python
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{'env_id': 'LunarLander-v2'}
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```
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c9621126b886fa6e32d6f744ad28a88f310796366139c98b6ed11c526cc0053
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size 43026
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replay.mp4
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Binary file (73.5 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 128.25281631898363, "std_reward": 87.01977052720558, "n_evaluation_episodes": 10, "eval_datetime": "2024-05-07T02:22:38.049809"}
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