NextGen Synergy: Control Theory and Machine Learning

Name: NextGen Synergy: Control Theory and Machine Learning
Start: 2026-04-27T08:30:00+02:00
End: 2026-04-30T20:00:00+02:00
Location: Faculty of Economics and Management, Czech University of Life Sciences

Apr 27 – 30, 2026

Faculty of Economics and Management, Czech University of Life Sciences

Europe/Prague timezone

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klepkova@utia.cas.cz

N-to-1 Knowledge Transfer in Reinforcement Learning via Adaptive Q-function Selection

Apr 29, 2026, 5:40 PM

Accepted as Poster, non-COST Control Theory for Machine Learning Poster Session B

Affiliation of the corresponding author	Department of Adaptive Systems, Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Keywords	knowledge transfer, reinforcement learning, Multi-source Transfer
Preferred type of presentation	Poster
Are you a member of COST Action CA24136?	Yes, I am a member of COST Action CA24136.
Are you applying for reimbursement?	No, I am not applying for reimbursement

Marko Ruman (UTIA, CAS) Tatiana Valentine Guy

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NextGen Synergy: Control Theory and Machine Learning

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N-to-1 Knowledge Transfer in Reinforcement Learning via Adaptive Q-function Selection

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NextGen Synergy: Control Theory and Machine Learning

Local Organiser Contacts

Authors

Presentation materials