Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1721929973.ba30579c3e38.3652.0 +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: 6.04 +/- 55.53
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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.1721929973.ba30579c3e38.3652.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:29d55db0acb6a1efc1a03ab9c170b25a68e83ce63961e37c6b00044111121a7c
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size 675374
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c92c631e7b978acf25a81dd9a83a3caf08de2979f0ea9b1370f6a8fc6e2143ec
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size 43026
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replay.mp4
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Binary file (198 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 6.038369542895086, "std_reward": 55.525540808863035, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-25T18:07:02.587835"}
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