Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1680558344.lambda.84464.0 +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: 95.87 +/- 126.28
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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.1680558344.lambda.84464.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:5971d903fa4da2a9a747c078bd443bcbcc06983242d8d54b12fc1d1aa8621749
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size 5691486
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:acb2f00607368ba567a9fdc17261db291a109b53e06ab2d5335522c751a49518
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size 42597
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replay.mp4
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Binary file (52.9 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 95.87133996088298, "std_reward": 126.28488047331123, "n_evaluation_episodes": 10, "eval_datetime": "2023-04-04T00:13:36.700203"}
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