معرفی
Jilles Dibangoye is a Professor of Machine Learning at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Artificial Intelligence department within the Bernoulli Institute. His research focuses on Machine Learning, Reinforcement Learning, Game Theory, and Optimization, with contributions to multi-agent systems and stochastic decision processes. He has collaborated on solving complex problems such as Dec-POMDPs and partially observable stochastic games.
Key research areas include the development of algorithms for decentralized decision-making under uncertainty, leveraging techniques from dynamic programming and game theory. His work addresses challenges in hierarchical information-sharing, min-max optimization, and heuristic search methods. Notable contributions include advancing HSVI algorithms for zero-sum stochastic games and extensive-form game approaches for decentralized POMDPs.
Publications highlight advancements in optimization for Hölder games and convex/non-convex decision processes. While no specific awards are listed, his contributions reflect impactful research in artificial intelligence and multi-agent systems.
