Robust and Efficient Communication for Multi-Agent Learning
Effective communication is a cornerstone of distributed intelligence in Multi-Agent Reinforcement Learning (MARL), yet ensuring that generated messages are both informative and robust to physical constraints remains a significant challenge. This paper introduces Multi-Agent Regularized Communication (MARC), a novel framework inspired by information-theoretic principles of conditional mutual…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
