Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1680556914.lambda.83188.0 +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: -29.46 +/- 98.36
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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.1680556914.lambda.83188.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:15140d8cd6cc0244ca66876f52b4a9f9eb44faee57cb4b01c2ebcd03c84d4f28
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size 1029972
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f579bf4e3e43e19c2fab3bf7c99dccf7f83543841f92bef132d3ef3461f5b9c
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size 42597
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replay.mp4
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Binary file (256 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -29.46111017036492, "std_reward": 98.36321615802613, "n_evaluation_episodes": 10, "eval_datetime": "2023-04-03T23:37:12.328646"}
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