Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1701590611.9c656963a301.525.0 +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: -219.40 +/- 91.06
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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.1701590611.9c656963a301.525.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f06e227ed9991cc70463521101c9ccf935d5c6d55d054c710eb84835f4585f99
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size 110090
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c4efaf45b09a66ea16568612509cbdacfcb1d91a376768c2ec4f66d2aab2e85
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size 42597
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replay.mp4
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Binary file (26.1 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -219.39759173008784, "std_reward": 91.06039041106696, "n_evaluation_episodes": 10, "eval_datetime": "2023-12-03T08:04:15.717391"}
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