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Xuyun Yang

2 accepted papers

2022

Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning

RA-L 2022

Although robots have been widely applied in various fields, allowing a robot to perform a wide range of tasks like humans is a significant challenge. One promising method is meta-learning, which enables robots to learn from demonstrations with the concept of “learning to learn.” Howeve

Cited by 7SourceScholar
2019

Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning

CoRL 2019

This paper considers the multi-robot navigation problem where the geometric center of a multi-robot team aims to efficiently reach the waypoint without collisions in unknown complex environments while maintaining connectivity during the navigation. A novel Deep Reinforcement Learning (DRL)-based app

Cited by 7SourcePDFScholar