This axis brings together theoretical developments and applications for continuous and discrete real-time decision making with information on future needs over a shorter or longer horizon. Several GERAD researchers who are experts on optimization algorithms for planning in many fields extend their activities to operational decisions. They innovate by using the results of planning for better decisions in real time. The Canada Excellence Research Chair in Real-Time Decision Making is a member of GERAD.
Cahiers du GERAD
Motivated by our collaboration with one of the largest fast-fashion retailers in Europe, we study a two-echelon inventory control problem called the One-Ware...BibTeX reference
We consider online optimization problems with time-varying linear equality constraints. In this framework, an agent makes sequential decisions using only pri...BibTeX reference
Most reinforcement learning methods for adaptive-traffic-signal-control require training from scratch to be applied on any new intersection or after any modi...BibTeX reference
Patricia Hidalgo-Gonzalez – University of California, San Diego
Petar Veličković – Staff Research Scientist, DeepMind