首页|Report Summarizes Robotics Study Findings from Sun Yat-sen University (Dacoop-a: Decentralized Adaptive Cooperative Pursuit Via Attention)

Report Summarizes Robotics Study Findings from Sun Yat-sen University (Dacoop-a: Decentralized Adaptive Cooperative Pursuit Via Attention)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Integrating rule-based polic ies into reinforcement learning promises to improve data efficiency and generali zation in cooperative pursuit problems. However, most implementations do not pro perly distinguish the influence of neighboring robots in observation embedding o r inter-robot interaction rules, leading to information loss and inefficient coo peration.”

ShenzhenPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRobotRobo ticsSun Yat-sen University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.10)