首页|Researchers at Tongji University Report New Data on Robotics (Roscom: Robust Saf e Reinforcement Learning On Stochastic Constraint Manifolds)
Researchers at Tongji University Report New Data on Robotics (Roscom: Robust Saf e Reinforcement Learning On Stochastic Constraint Manifolds)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “ReinforcementLearnin g (RL) has demonstrated remarkable success across various domains. Nonetheless, a significantchallenge in RL is to ensure safety, particularly when deploying i t in safety-critical applications suchas robotics and autonomous driving.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningReinforcement LearningRobotRobo ticsTongji University
NETL
NSTL
