首页|Studies from University of Technology Sydney Reveal New Findings on Robotics and Automation (Multi-horizon Multi-agent Planning Using Decentralised Monte Carlo Tree Search)
Studies from University of Technology Sydney Reveal New Findings on Robotics and Automation (Multi-horizon Multi-agent Planning Using Decentralised Monte Carlo Tree Search)
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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 in Ult imo, Australia, by NewsRx journalists, research stated, “We proposemulti-horizo n Monte Carlo tree search (MH-MCTS), the first framework for integrated hierarch ical multihorizon,multi-agent planning based on Monte Carlo tree search (MCTS) . The method employs multiplesimultaneous MCTS optimisations for each planning level within each agent, which are designed to optimisea joint objective functi on.”
UltimoAustraliaAustralia and New Zea landRobotics and AutomationRoboticsUniversity of Technology Sydney
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