Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions

ArXi:2604.13128v1 Announce Type: cross Human behavior in interactive settings is shaped not only by individual objectives but also by shared constraints with others, such as safety. Understanding how people allocate responsibility, i.e., how much one deviates from their desired policy to accommodate others, can inform the design of socially compliant and trustworthy autonomous systems. In this work, we