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Non-Markov Decision Processes and Reinforcement Learning

In this course, we present formalisms and learning algorithms for non-Markovian decision processes, where rewards and dynamics can depend on the history of events.

November 7–21, 2022 (schedule on the web site)

Room B203, Department of Computer, Automation, and Management Engineering, Sapienza University of
Rome, Via Ariosto 25, Rome, Italy

Online: Zoom (link: available after registration)