Hamze-Hammami
commited on
Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1720119834.4c361f34e18f.6732.0 +3 -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: -122.67 +/- 78.57
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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.1720119834.4c361f34e18f.6732.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c77d1787d3570e35605ca1fbd00b18eebcd6f182a3b31d1b959e92aee97b6626
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size 110606
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b51141f29a5fd60d9f7a96a70a1e185897fcb1c4838b12131a7276001db13c08
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size 42898
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replay.mp4
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Binary file (19.4 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -122.67419200092058, "std_reward": 78.56733763267843, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-04T19:04:57.196498"}
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