Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning

Yoann Poupart, Aurélie Beynier, Nicolas Maudet

Multi-Agent Deep Reinforcement Learning (MADRL) was proven efficient in solving complex problems in robotics or games, yet most of the trained models are hard to interpret. While l…