首页|Researchers’ Work from Stanford University Focuses on Robotics and Automation (D istributed Online Planning for Min-max Problems In Networked Markov Games)
Researchers’ Work from Stanford University Focuses on Robotics and Automation (D istributed Online Planning for Min-max Problems In Networked Markov Games)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting originating from S tanford, California, by NewsRx correspondents, research stated,“Min-max problem s are important in multi-agent sequential decision-making because they improve t heperformance of the worst-performing agent in the network. However, solving th e multi-agent min-maxproblem is challenging.”
StanfordCaliforniaUnited StatesNor th and Central AmericaRobotics and AutomationRoboticsStanford University
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