Control theory and reinforcement learning converge on a shared objective: facilitating autonomous, real-time decision-making to optimize dynamical processes. Historically, these disciplines have diverged in assumptions regarding available prior information and in analytical techniques applied. However, recent advances bridging the two domains are fostering collaborations. The upcoming CWI research semester programme in spring 2025, themed "Control Theory and Reinforcement Learning: Connections and Challenges", will comprise a spring school and workshops on various sub-topics, orchestrated by a distinguished team including Sean Meyn, Bert Kappen, Maryam Kamgarpour, Frans Oliehoek, Debabrota Basu, Matthia Sabatelli, and Aditya Gilra, to explore the intersections and challenges within these intertwined fields.
Lecturers:
- Sean Meyn, Univ. of Florida, USA.
- Bert Kappen, Radboud Univ, Nijmegen, Netherlands.
- Frans Oliehoek, TU Delft, Netherlands.
- Debabrota Basu, Inria, Lille, France.
- Maryam Kamgarpour, EPFL, Lausanne, Switzerland.
- Aditya Gilra, CWI, Amsterdam, Netherlands.
Teaching Assistants:
Caio Kalil Lauand, Univ. of Florida, USA.
(more to be added)
The school will be at a preparatory PhD level, suitable for advanced Master's and starting PhD students in this subject. The call for applications will be later in 2024.
The workshops will take place on 24 March and 25 March 2025.
More information will be available soon.
