首页|Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Robotics (Constrained Dirichlet Distribution Policy: Guarantee Zero Constr aint Violation Reinforcement Learning for Continuous Robotic Control)

Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Robotics (Constrained Dirichlet Distribution Policy: Guarantee Zero Constr aint Violation Reinforcement Learning for Continuous Robotic Control)

扫码查看
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 fromShanghai, People’s Republic of China, b y NewsRx journalists, research stated, “Learning-based controllersshow promisin g performances in robotic control tasks. However, they still present potential s afety risksdue to the difficulty in ensuring satisfaction of complex action con straints.”

ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningReinforcement LearningRoboticsR obotsShanghai Jiao Tong University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.13)