首页|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)
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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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.”
ChangshaPeople’s Republic of ChinaAs iaComputational IntelligenceEmerging TechnologiesMachine LearningReinfor cement LearningNational University of Defense Technology
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