首页|Researchers from Xi’an Jiaotong University Describe Findings in Robotics (Improv ing Offline Reinforcement Learning With Insample Advantage Regularization for R obot Manipulation)
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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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).
Xi’anPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRobotRobotic sRobotsXi’an Jiaotong University
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