2 papers
cs.AI2025
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…
cond-mat.soft2021
Topology-driven ordering of flocking matter
Amélie Chardac, Ludwig A. Hoffmann, Yoann Poupart +2
When interacting motile units self-organize into flocks, they realize one of the most robust ordered state found in nature. However, after twenty five years of intense research, th…