ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) addresses the problem of training multiple agents that pursue collaborative, competitive, or mixed objectives. Prior work has investigated transfer learning between source and target domains in MARL; however, the majority of existing approaches impose the co…