首页|Report Summarizes Robotics Study Findings from University of Science and Technol ogy China (Effective Offline Robot Learning With Structured Task Graph)
Report Summarizes Robotics Study Findings from University of Science and Technol ogy China (Effective Offline Robot Learning With Structured Task Graph)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out ofHefei, People’s Republic of China, by NewsRx editors, research stated, “Offline reinforcement learning (RL)has shown great potential in many robotic tasks, where doing trial-and-error with the env ironment is risky,costly, or time-consuming. However, it is still hard to succe ed in long-horizon tasks especially when givensuboptimal and multimodal offline datasets.”
HefeiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsRobotsUniversity of Science and Technology China
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