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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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## Codes |
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Github repos(Give a star if found useful): |
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* https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots |
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* https://github.com/hishamcse/DRL-Renegades-Game-Bots |
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* https://github.com/hishamcse/Robo-Chess |
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Kaggle Notebook: |
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* https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-adv-drl-a3c-icm-kungfu-master |
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# Hyperparameters |
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``` |
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"envid": "ALE/KungFuMaster-v5", |
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"learningrate": 0.0002, |
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"tau": 1.0, |
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"num_local_step": 50, |
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"num_global_step": 380000, |
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"gamma": 0.99, |
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"lambda": 0.1, |
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"eta": 0.2, |
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"beta": 0.2, |
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"max_actions": 500 |
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``` |