Esther Derman

Esther Derman is a Research Fellow at MILA, affiliated with the Canada Research Chair in Decision-Making Under Uncertainty. Her work involves game theory, mathematical modeling, and optimization methods, with a focus on decision-making under uncertainty and reinforcement learning. She collaborates with co-directors Erick Delage and Pierre-Luc Bacon.

• Research Interests: Game theory, optimal order modeling, simulation, and derivative-free optimization methods.
• Scientific Recognition: Holds the prestigious Canada Research Chair in Decision-Making Under Uncertainty.

On October 23, 2023, she presented a seminar at GERAD titled 'Regularization and Robustness in Reinforcement Learning'.