Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1729999377.87faad63131f.915.2 +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: 172.70 +/- 96.36
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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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This is a trained model of a PPO agent playing CartPole-v1.
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# Hyperparameters
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logs/events.out.tfevents.1729999377.87faad63131f.915.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:458a284259977f0c6f064eecfb2be690f178274189d90b272f215761ad42d652
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size 107954
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:253f0e4b6304f0dc7378e7ccc2960aa8eaace3a0185975f83d3c3cb9877e6234
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size 40466
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replay.mp4
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Binary file (51.9 kB). View file
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results.json
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{"env_id": "CartPole-v1", "mean_reward": 172.7, "std_reward": 96.36394553981276, "n_evaluation_episodes": 10, "eval_datetime": "2024-10-27T03:23:32.632249"}
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