modified from CleanRL
Browse files- README.md +30 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
- rl-video-step-0.meta.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: 261.13 +/- 28.32
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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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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:17fc14857b5a0bbcddad1f87de7aa17a5dac2a67f9b972d28cd197e53bb75c1b
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size 42817
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replay.mp4
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Binary file (170 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 261.1306086142445, "std_reward": 28.319145033180245, "n_evaluation_episodes": 10, "eval_datetime": "2024-06-11T12:19:34.684977"}
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rl-video-step-0.meta.json
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{"step_id": 0, "episode_id": 0, "content_type": "video/mp4"}
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