Jiadong Yu

Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning

This work introduces a unified framework for learning multi-round communication protocols that are both effective and efficient and demonstrates that the learned communication protocols can significantly enhance communication efficiency and achieves better cooperation performance with improved success rates.