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Browse files- .gitattributes +1 -0
- README.md +29 -0
- a3c_agent.pt +3 -0
- hyperparameters.json +1 -0
- icm_agent.pt +3 -0
- replay.mp4 +3 -0
- results.json +1 -0
.gitattributes
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README.md
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---
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tags:
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- ALE/KungFuMaster-v5
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- A3C
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- ICM
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- reinforcement-learning
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- atari
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- ALE/KungFuMaster-v5
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- KungFuMaster-v5
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model-index:
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- name: A3C-ICM-KungFuMaster-v5
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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: ALE/KungFuMaster-v5
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type: ALE/KungFuMaster-v5
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metrics:
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- type: mean_reward
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value: 5750.00 +/- 1608.88
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name: mean_reward
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verified: false
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---
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# **A3C with ICM** Agent playing **ALE/KungFuMaster-v5**
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This is a trained model of a **A3C-ICM** agent playing **ALE/KungFuMaster-v5** .
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To learn to use this model and train yours check this notebook on kaggle: https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-adv-drl-a3c-icm-kungfu-master
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a3c_agent.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:385bd22e42b74570af802a30f81e35930716af99de3dbddc5f952c056b007052
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size 55224396
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hyperparameters.json
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{"envid": "ALE/KungFuMaster-v5", "learningrate": 0.0002, "tau": 1.0, "num_local_step": 50, "num_global_step": 380000, "gamma": 0.99, "lambda": 0.1, "eta": 0.2, "beta": 0.2, "max_actions": 500}
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icm_agent.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2142758bc3307e7bc78b265855f83295890cd481cf36dcc079e2f213f52ccef
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size 38486156
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8dd5bccab67ba4e1f179052ba13c5d401009d24834a3ae7f3edc18048b0243f
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size 5288490
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results.json
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{"env_id": "ALE/KungFuMaster-v5", "mean_reward": 5750.0, "n_evaluation_episodes": 10, "eval_datetime": "2024-07-06T12:51:44.414205"}
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