MADES: A Unified Framework for Integrating Agent-Based Simulation with Multi-Agent Reinforcement Learning

Agent-Based Simulation (ABS) provides distributed entities for simulating agent emergence or interactive behaviors, but the agent behaviors usually rely on the hard rules, thus lacking the intelligent decision-making capability. With the development of artificial intelligence, Multi-Agent Reinforcement Learning (MARL) has shown positive potential in robot control, autonomous driving, and human-mac...