NatalieCheong
commited on
Commit
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Parent(s):
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Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1724742397.04809445590b.2548.0 +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: -152.52 +/- 106.94
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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.1724742397.04809445590b.2548.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:281583190b07a7484c62c3a1feb05ad1f75ddec5fe3da7e7fdc5c981b05c353f
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size 109719
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd4596ab0794d2a541e1ee1543e4c0035dfad1fec7183bccf8aca2cae9fb97b0
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size 43026
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replay.mp4
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Binary file (24.2 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -152.51714084250412, "std_reward": 106.9448843411156, "n_evaluation_episodes": 10, "eval_datetime": "2024-08-27T07:07:22.529221"}
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