Data on Robotics Reported by Researchers at Michigan State University (Back-step ping Experience Replay With Application To Model-free Reinforcement Learning for a Soft Snake Robot)

Robotics & Machine Learning Daily News2024，Issue(Aug.29) ：29-29.

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Data on Robotics Reported by Researchers at Michigan State University (Back-step ping Experience Replay With Application To Model-free Reinforcement Learning for a Soft Snake Robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting originating in EastLansing, Michigan, by NewsRx journalists, research stated, “In this letter, we propose a novel technique,Bac k-stepping Experience Replay (BER), that is compatible with arbitrary off-policy reinforcement learning(RL) algorithms. BER aims to enhance learning efficiency in systems with approximate reversibility, reducingthe need for complex reward shaping.”

Key words

East Lansing/Michigan/United States/N orth and Central America/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/Michigan State University

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出版年

2024

Robotics & Machine Learning Daily News

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