Robotics & Machine Learning Daily News2024,Issue(Oct.16) :35-35.

Researchers from Xi’an Jiaotong University Describe Findings in Robotics (Improv ing Offline Reinforcement Learning With Insample Advantage Regularization for R obot Manipulation)

Robotics & Machine Learning Daily News2024,Issue(Oct.16) :35-35.

Researchers from Xi’an Jiaotong University Describe Findings in Robotics (Improv ing Offline Reinforcement Learning With Insample Advantage Regularization for R obot Manipulation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting out of Xi’an, People’s Republ ic of China, by NewsRx editors, research stated, “Offline reinforcement learning (RL) aims to learn the possible policy from a fixed dataset without real-time i nteractions with the environment. By avoiding the risky exploration of the robot , this approach is expected to significantly improve the robot’s learning effici ency and safety.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotic s/Robots/Xi’an Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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