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Browse files- README.md +24 -0
- logs/events.out.tfevents.1700453200.4da9c75b93f3.2734.4 +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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- CartPole-v1
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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: CartPole-v1
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type: CartPole-v1
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metrics:
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- type: mean_reward
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value: 59.4000+/-20.4802
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name: mean_reward
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verified: false
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---
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PPO Agent Playing CartPole-v1
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logs/events.out.tfevents.1700453200.4da9c75b93f3.2734.4
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version https://git-lfs.github.com/spec/v1
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oid sha256:96b8741c0abee788d5960e194e2e924528a8ffadfc535404aabe9fb76fa152bb
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size 203497
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:525bbd97e1d4a5472c8c512834fd26c853f99d7a02fe77aa54cc3b94c02b4955
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size 40466
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replay.mp4
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Binary file (7.66 kB). View file
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results.json
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{"env_id": "CartPole-v1", "mean_reward": 59.4, "std_reward": 20.48023437365891, "n_evaluation_episodes": 10, "eval_datetime": "2023-11-20T04:07:19.733763"}
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