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 Aditya Gilra, Bert Kappen, Debabrota Basu, Frans Oliehoek, Maryam Kamgarpour and Sean Meyn, to explore the intersections and challenges within these intertwined fields.
Spring School
Dates: 17-21 (Mon-Fri) March, 2025.
Location: Turing Hall, CWI, Science Park, Amsterdam, Netherlands.
The school will be at a preparatory PhD level, suitable for advanced Master's and starting PhD students in this subject.
For more information go to the programme of the 2025 Spring School.
Workshops
Dates: 24 March and 25 March 2025.
Location: Turing Hall, CWI, Science Park, Amsterdam, Netherlands.
More workshops are planned.
Registrations will open later in 2024.
