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 on Control Theory and Reinforcement Learning
Dates: 17-21 (Monday-Friday) 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 and registration go to the programme of 2025 Spring School.
Workshop on Themes across Control and Reinforcement Learning
Dates: 24 and 25 (Monday-Tuesday) March, 2025.
Location: Turing Hall, CWI, Science Park, Amsterdam, Netherlands.
Contributions and attendance from all related to these areas are welcome.
For more information and registration go to the programme of 2025 Workshop.
Workshop on Modern Applications of Control Theory and Reinforcement Learning
Dates: 20 and 21 (Tuesday-Wednesday) May, 2025
Location: Turing Hall, CWI, Science Park, Amsterdam, Netherlands.
Contributions and attendance from practitioners in modern applications of control theory and reinforcement learning to topics such as climate change, economics, neuroscience, etc. are welcome.
Further details to follow.
Workshop on Theory of Control and Reinforcement Learning
Dates: 19 and 20 (Thursday-Friday) June, 2025
Location: Turing Hall, CWI, Science Park, Amsterdam, Netherlands.
Contributions and attendance from practitioners in theory of control and reinforcement learning are welcome.
Further details to follow.
