首页|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)
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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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.”
East LansingMichiganUnited StatesN orth and Central AmericaEmerging TechnologiesMachine LearningReinforcement LearningRobotRoboticsMichigan State University
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