Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1677850593.tensorbook.71636.0 +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: -51.91 +/- 38.82
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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.1677850593.tensorbook.71636.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4779c34f2a0ca2234d360d763d0d76d6fb49e3338f222706e2e9ebc1e2c34371
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size 206278
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:33a1e9044374702f9ca54180674594738a9e7e4ac71bd1f958e14c7de8c61251
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size 42817
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replay.mp4
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Binary file (37 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -51.91132276331892, "std_reward": 38.82108719915925, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-03T14:37:21.128492"}
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