Quantum Reinforcement Learning: Algorithms and Applications

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Special Presentation by Dr. Joongheon Kim (Korea U., Korea)

Co-Hosted by the Future Networks AI/ML and Quantum IT working groups

Date/Time: Thursday, 7 August 2025 @ 6 PM EDT

PDH Certificate: while basic attendance is free, this course also offers one (1) Professional Development Hour (PDH) for a nominal fee; please choose the appropriate "Registration Fee" when registering; additional terms and conditions apply.

Topic:

Quantum Reinforcement Learning: Algorithms and Applications

Abstract:

Quantum Reinforcement Learning (QRL) sits at the frontier where quantum computing and adaptive decision-making converge, offering the potential to fundamentally reshape sequential decision-making in complex environments. This tutorial provides a structured and accessible introduction to QRL, covering theoretical foundations, algorithmic frameworks, and emerging real-world applications. Participants will learn key concepts such as variational quantum policies, quantum-enhanced exploration, QRL with recurrent policies and distributed/multi-agent quantum reinforcement learning. The tutorial also presents practical use cases of QRL in communication networks, financial modeling, and autonomous systems. Through both conceptual lectures and hands-on demonstrations, attendees will gain actionable insights into building quantum-enhanced learning systems.

Speaker:

Joongheon Kim has been with Korea University, Seoul, Korea, since 2019, where he is currently an associate professor at the School of Electrical Engineering. He received B.S. and M.S. degrees in computer science and engineering from Korea University, Seoul, Korea, in 2004 and 2006; and the Ph.D. degree in computer science from the University of Southern California (USC), Los Angeles, CA, USA, in 2014. Before joining Korea University, he was a research engineer with LG Electronics, Seoul, Korea, from 2006 to 2009; a systems engineer with Intel Corporation, Santa Clara, CA, USA, from 2013 to 2016; an assistant professor with Chung-Ang University, Seoul, Korea, from 2016 to 2019. He also visited Seoul National University Hospital, Seoul, Korea. He serves as editor for IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal. He was a recipient of Annenberg Graduate Fellowship with his Ph.D. admission from USC (2009), Intel Corporation Next Generation and Standards (NGS) Division Recognition Award (2015), IEEE Systems Journal Best Paper Award (2020), IEEE ComSoc Multimedia Communications Technical Committee (MMTC) Outstanding Young Researcher Award (2020), and IEEE ComSoc MMTC Best Journal Paper Award (2021).