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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…