CS-456: Deep reinforcement learningThis course provides an overview and introduces modern methods for reinforcement learning (RL.) The course starts with the fundamentals of RL, such as Q-learning, and delves into commonly used approac
PHYS-204: Physics lab IIaCe cours pratique permet d'acquérir la connaissance des phénomènes physiques de base ainsi que de leurs applications, d'acquérir des connaissances concernant les méthodes d'observation et de mesure ai
EE-566: Adaptation and learningIn this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
CS-433: Machine learningMachine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and pr
AR-458: City and mobilityLe cours ville et mobilité porte sur les savoirs de base sur la mobilité en partant des modes de vie pour informer l'architecture et l'ingénierie.
Il explore en particulier comment ville et mobilité
