Adaptive Autonomous Agent Lab
The Adaptive Autonomous Agent Lab focuses on the design and study of models and algorithms for autonomous decision-making. The high-level goals of our group are to help build decision-support systems (recommender systems, search…) and automatic decision systems (robots, traders…). Our research work lies at the intersection of artificial intelligence, decision theory, machine learning and operations research. In particular, it deals with (sequential) decision making under uncertainty, multiobjective optimization, preference elicitation/learning.
For more information, please go to: https://weng.fr