Yongheng Liang

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning

Credit assignment is a critical problem in multi-agent reinforcement learning (MARL), aiming to identify agents' marginal contributions for optimizing cooperative policies. Current credit assignment methods typically assume synchronous decision-making among agents. However, many real-world scenarios