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Updated: Jul 19, 2025

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
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Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

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强大的无奖励的演员-关键的合作多代理强化学习学习

Qifeng Lin, Qing Ling

    IEEE transactions on neural networks and learning systems
    |August 15, 2023
    PubMed
    概括

    本研究介绍了使用私人奖励的多代理强化学习 (MARL) 的方法,解决了拜占庭式攻击. 一个新的算法,R2F-DDPG,在合作环境中增强了对恶意代理的稳定性.

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    Reinforcement Schedules01:24

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