Robotics & Machine Learning Daily News2024,Issue(Dec.16) :129-130.

Recent Findings in Computational Intelligence Described by Researchers from Nati onal University of Defense Technology (Leaders and Collaborators: Addressing Spa rse Reward Challenges In Multi-agent Reinforcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.16) :129-130.

Recent Findings in Computational Intelligence Described by Researchers from Nati onal University of Defense Technology (Leaders and Collaborators: Addressing Spa rse Reward Challenges In Multi-agent Reinforcement Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting origina ting in Changsha, People’s Republic of China, by NewsRx journalists,research st ated, “Cooperative multi-agent reinforcement learning (MARL) has emerged as an e ffectivetool for addressing complex control tasks. However, sparse team rewards present significant challengesfor MARL, leading to low exploration efficiency, slow learning speed, and homogenized behaviors amongagents.”

Key words

Changsha/People’s Republic of China/As ia/Computational Intelligence/Emerging Technologies/Machine Learning/Reinfor cement Learning/National University of Defense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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