Continual Graph Multi-Agent Reinforcement Learning
This work introduces Continual Graph Multi-Agent Reinforcement Learning (CGMARL) to solve continual learning challenges in multi-agent systems. It models task sequences as graphs and proposes the Frozen Graph Encoder (FROG) method to prevent agents from forgetting previously learned skills when facing new tasks.