Reinforcement Learning Bootcamp

Description

As part of IMSI’s long-program on Theoretical Advances in Reinforcement Learning and Control, the Reinforcement Learning Bootcamp is designed as an intensive, foundational tutorial series. Its goal is to equip participants with the core theoretical tools and conceptual framework needed to fully engage with the subsequent workshops in the program.

This bootcamp is especially targeted at early-career researchers, graduate students, postdocs, and others who plan to contribute to the frontier of RL theory or control theory. Participants will benefit most if they come with basic familiarity in probability, linear algebra, optimization, and basic machine learning, although the tutorials aim to bring everyone up to speed.

Registration

IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request disability-related accommodations.