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

Imitation learning framework based on Fully Probabilistic Design

Apr 29, 2026, 5:40 PM

Accept as Poster presentation with Reimbursement Machine Leaning for Control Theory Poster Session B

Affiliation of the corresponding author	Adaptive System Department, Institute of Information Theory and Automation, Czech Academy of Sciences
Keywords	Fully probabilistic design, imitation learning, Kullback-Liebler divergence, learning from demonstration, optimal policy
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?	Yes, I am applying for reimbursement

siavash Fakhimi Derakhshan

Dr Ladislav Jirsa Dr Tatiana Valentine Guy

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NextGen Synergy: Control Theory and Machine Learning

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Imitation learning framework based on Fully Probabilistic Design

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NextGen Synergy: Control Theory and Machine Learning

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