colinrgodsey
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Push agent to the Hub
Browse files- README.md +11 -15
- logs/events.out.tfevents.1719353183.tf-notebook-0.332.0 +3 -0
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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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model-index:
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- name: PPO
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results:
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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#
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This is a trained model of a **PPO** agent playing **LunarLander-v2**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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TODO: Add your code
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```python
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...
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```
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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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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: -170.08 +/- 80.20
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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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replay.mp4
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results.json
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{"
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{"env_id": "LunarLander-v2", "mean_reward": -170.0832651597297, "std_reward": 80.19670027783228, "n_evaluation_episodes": 10, "eval_datetime": "2024-06-25T23:20:36.087787"}
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