Nelsonlin0321
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Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1678458860.Nelsons-Mac-mini.local.15276.0 +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: -134.63 +/- 67.38
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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.1678458860.Nelsons-Mac-mini.local.15276.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f3514422c53f17d79b907bf2b7d6dbeeecfcb357e884f93f886b1b71b9564e5
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size 111726
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ed205fb586f873d104732d972fa3716ac51b02d62ec9706082b2859c0bdd023
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size 42469
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replay.mp4
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Binary file (26.8 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -134.62633149040343, "std_reward": 67.3836196762934, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-10T22:34:31.295053"}
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