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IEEE Future Networks Artificial Intelligence and Machine Learning (AIML)
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About this event
IEEE Future Networks Artificial Intelligence and Machine Learning
Date: August 7, 2025
Time: 6:00 - 7:00 PM
Location: Virtual
Quantum Reinforcement Learning: Algorithms and Applications
Speaker: Joongheon Kim
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.
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.
Register here:
https://events.vtools.ieee.org/m/491420