AI RESEARCH

Inter-Agent Relative Representations for Multi-Agent Option Discovery

arXiv CS.LG

ArXi:2512.24827v3 Announce Type: replace Temporally extended actions improve the ability to explore and plan in single-agent settings. In multi-agent settings, the exponential growth of the joint state space with the number of agents makes coordinated behaviours even valuable. Yet, this same exponential growth renders the design of multi-agent options particularly challenging. Existing multi-agent option discovery methods often sacrifice coordination by producing loosely coupled or fully independent behaviours.