Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Shanqi Liu,Licheng Wen,Jinhao Cui,Xuemeng Yang,Junjie Cao,Yong Liu,Shanqi Liu,Licheng Wen,Jinhao Cui,Xuemeng Yang,Junjie Cao,Yong Liu
Multi-agent path finding in formation has many potential real-world applications like mobile warehouse robotics. However, previous multi-agent path finding (MAPF) methods hardly take formation into consideration. Further-more, they are usually centralized planners and require the whole state of the environment. Other decentralized partially observable approaches to MAPF are reinforcement learning ...
