MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning

Adam Callaghan, Karl Mason, Patrick Mannion

This paper addresses a critical gap in Multi-Objective Multi-Agent Reinforcement Learning (MOMARL) by introducing the first dedicated inner-loop actor-critic framework for continuo…