Dear all,
 
Final reminder for this exciting Workshop on Modern Applications of Control 
Theory and Reinforcement Learning:
https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-modern-applications-of-control-theory-and-reinforcement-learning/
 
 
Control theory and reinforcement learning (RL) converge on a shared 
objective: facilitating autonomous, real-time decision-making to optimise 
dynamical processes. Methods from control and RL are being increasingly 
applied to diverse fields, in particular complex adaptive systems such as 
climate-socio-economics, neuroscience, and similar. Finding safe, robust 
and optimal interventions on these systems will be crucial for the benefit 
of society. This workshop aims to foster the transfer of methods of control 
and RL across these upcoming domains. The workshop is open to all, 
especially (budding) researchers who would like to apply these methods to 
real-world complex systems.
Dates: 20-21 May 2025
Venue: CWI (Research Institute for Mathematics and Computer Science), 
Amsterdam, Netherlands
We welcome poster presentations from attendees.
 
Distinguished researchers will discuss methods used in a variety of 
domains, from critical network infrastructure like power grids, to 
sustainability economics and neuroscience:
Diederik Roijers <https://roijers.info/>, VU Brussel, Belgium - *A Plea for 
User-Centred RL*
Elena Rovenskaya <https://iiasa.ac.at/staff/elena-rovenskaya>, 
International Institute for Applied Systems Analysis (IIASA), Austria - 
*Optimal 
Control and the Stories We Tell About Climate Change Economics*
Herke van Hoof <https://staff.fnwi.uva.nl/h.c.vanhoof/homepage/>, 
University of Amsterdam, Netherlands - *Reinforcement learning for 
real-world network infrastructure*
Marcel van Gerven <https://www.ru.nl/en/people/gerven-m-van>, Radboud 
University Nijmegen, Netherlands - *Harnessing Noise for Neuromorphic 
Control*
Marta Kwiatkowska 
<https://www.cs.ox.ac.uk/people/marta.kwiatkowska/bio.html>, University of 
Oxford, United Kingdom - *Provable guarantees for data-driven policy 
synthesis: a formal verification perspective*
Sander Bohté <https://www.cwi.nl/en/people/sander-bohte/>, CWI, University 
of Amsterdam, Netherlands - *Scaling Biologically Plausible Deep 
Reinforcement Learning*
Sander Keemink <https://www.ru.nl/en/people/keemink-s>, Radboud University 
Nijmegen, Netherlands - *To spike or not to spike: using brain-like signals 
for control*
Timm Faulwasser <https://www.tuhh.de/ics/teampages/timm-faulwasser>, 
Hamburg University of Technology, Germany - *TBA*
Wolfram Barfuss 
<https://www.uni-bonn.de/en/research-and-teaching/research-profile/transdisciplinary-research-areas/tra-6-sustainable-futures/members-directory/wolfram-barfuss>,
 
University of Bonn, Germany - *Collective Reinforcement Learning Dynamics 
for Sustainability Economics*
 
[image: Banner Workhop on Modern Applications of Control Theory and 
Reinforcement Learning]
 
Please register as soon as possible!
https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-modern-applications-of-control-theory-and-reinforcement-learning/
 
 
This workshop is part of a research semester programme on Control Theory 
and Reinforcement Learning at CWI, Amsterdam, NL 
<https://www.cwi.nl/en/events/cwi-research-semester-programmes/control-theory-and-reinforcement/>.
 It 
follows a Spring School (17-21 March) 
<https://www.cwi.nl/en/events/cwi-research-semester-programmes/spring-school-control-theory-and-reinforcement-learning/>
 and a Workshop on Themes (24-25 March) 
<https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-themes-across-control-and-reinforcement-learning/>,
 
and is followed by an upcoming Workshop on Theory (19-20 June) 
<https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-theory-of-control-and-reinforcement-learning/>
. 
 
Download and advertise the poster 
<https://www.cwi.nl/documents/199888/poster_A3_Control_Theory_and_Reinforcement_Learning.pdf>
.
 
Looking forward to seeing you!
On behalf of the organizers.

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