Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1707655933.tony.34968.0 +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: -168.96 +/- 99.05
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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.1707655933.tony.34968.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:dafe68284b8cb057b4455ca4fce80226a6b01b07722f79d5d232ebbccc516608
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size 5432
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a5683fb33ea8a3a3a2e6fbafabd144369adbc90184e126b395649d10b3e3344
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size 42898
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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": -168.95883611026088, "std_reward": 99.05380006045802, "n_evaluation_episodes": 10, "eval_datetime": "2024-02-11T13:52:17.485164"}
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