An Adaptive Strategy Selection Method With Reinforcement Learning for Robotic Soccer Games
Robotic soccer games, which have become popular, require timely and precise decisionmaking in a dynamic environment. To address the problems of complexity in a critical situation, policy improvement in robotic soccer games must occur. This paper proposes an adaptive decisionmaking method that uses r...
Main Authors: | Haobin Shi, Zhiqiang Lin, Kao-Shing Hwang, Shike Yang, Jialin Chen |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8301430/ |
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