Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1691399551.2bf080ba2568.16394.0 +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: -235.91 +/- 123.58
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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.1691399551.2bf080ba2568.16394.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ace4214ab01209bf8c6d65046a755b08188faab4b5a6a008364299bc397afe18
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size 109718
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c706c81696f37ceaeb74d41e1262ec54c4e2f63b8cbb791c8b01decf796f6a53
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size 42597
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replay.mp4
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Binary file (20.8 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -235.91408759674715, "std_reward": 123.57748522308805, "n_evaluation_episodes": 10, "eval_datetime": "2023-08-07T09:13:19.835269"}
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