In this thesis, I studied sequential decision making problems, with a focus on the unit
commitment problem. Traditionnaly solved by dynamic programming methods, this problem …

In this paper we compare Differential Evolution (DE), an evolutionary algorithm, to classical
bandit algorithms over the non-stationary bandit problem. First we define a testcase where …

The environmental and social costs of using oil resources as well as their increasing scarcity
are challenging tomorrow's agriculture to reduce its dependency on fossil energies (Chow et …

This manuscript concentrates in studying methods to handle the noise, including using
resampling methods to improve the convergence rates and applying portfolio methods to …

Many decision problems have two levels: one for strategic decisions, and another for tactical
management. This paper focuses on the strategic level, more specifically the sequential …

Solving zero-sum matrix games is polynomial, because it boils down to linear programming.
The approximate solving is sublinear by randomized algorithms on machines with random …

This research is motivated by improving decision making under uncertainty and in particular
for games and symbolic regression. The present dissertation gathers research contributions …