2 November 2025 List of Tutorials

Quantum Reinforcement Learning: From Foundations to Emerging Applications

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.