Push agent to the Hub
Browse files- README.md +8 -15
- logs/events.out.tfevents.1684253229.mint1.18314.0 +3 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -1
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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-
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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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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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---
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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: -137.13 +/- 74.70
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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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logs/events.out.tfevents.1684253229.mint1.18314.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:dabb9b71730777ef4fb464f80c3a04776cf00fec5e5ac67f3679825252f87de1
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size 111216
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f75b610b657a791a49243bb93c2bc05251e3165ef95a02675d9e671980045940
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size 42817
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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": -137.12905955144328, "std_reward": 74.70165527034125, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-16T11:07:30.071399"}
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