Robotics & Machine Learning Daily News2024,Issue(Sep.4) :35-36.

Studies from University of Technology Sydney Reveal New Findings on Robotics and Automation (Multi-horizon Multi-agent Planning Using Decentralised Monte Carlo Tree Search)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :35-36.

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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Abstract

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.”

Key words

Ultimo/Australia/Australia and New Zea land/Robotics and Automation/Robotics/University of Technology Sydney

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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