Cooperative Control of Mobile Robots with Stackelberg Learning
Joewie J. Koh,Guohui Ding,Christoffer Heckman,Lijun Chen,Alessandro Roncone,Joewie J. Koh,Guohui Ding,Christoffer Heckman,Lijun Chen,Alessandro Roncone
Multi-robot cooperation requires agents to make decisions that are consistent with the shared goal without disregarding action-specific preferences that might arise from asymmetry in capabilities and individual objectives. To accomplish this goal, we propose a method named SLiCC: Stackelberg Learning in Cooperative Control. SLiCC models the problem as a partially observable stochastic game compose...
