首页|Studies from Tongji University Provide New Data on Robotics and Automation (Safe Reinforcement Learning With Dead-ends Avoidance and Recovery)
Studies from Tongji University Provide New Data on Robotics and Automation (Safe Reinforcement Learning With Dead-ends Avoidance and Recovery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Robotics and Automation have been published. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents,research stated, “Safety is one of the main challenges in applying reinforcement learning to tasks inrealistic environments. To ensure safety during and after the training process, existing methods tend toadopt overly conservative policies to avoid unsafe situations.”
ShanghaiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsEmerging TechnologiesMachine LearningReinforcement LearningTongji University
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