Robotics & Machine Learning Daily News2024,Issue(Mar.6) :57-58.

Data from Nanjing University of Science and Technology Advance Knowledge in Robo tics (State-dependent Maximum Entropy Reinforcement Learning for Robot Long-hori zon Task Learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.6) :57-58.

Data from Nanjing University of Science and Technology Advance Knowledge in Robo tics (State-dependent Maximum Entropy Reinforcement Learning for Robot Long-hori zon Task Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Robotics are presented in a new rep ort. According to news reporting originating in Nanjing, People's Republic of Ch ina, by NewsRx journalists, research stated, "Task-oriented robot learning has s hown significant potential with the development of Reinforcement Learning (RL) a lgorithms. However, the learning of long-horizon tasks for robots remains a form idable challenge due to the inherent complexity of tasks, typically comprising m ultiple diverse stages." Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Primary Research & Development Plan of Jiangsu Province, Six talent peaks project in Jiangsu Provin ce.

Key words

Nanjing/People's Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/Nanjing University of Science and Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文