Prediction + Optimisation - Without and With Decision-Focused Learning

Explore a comprehensive lecture on integrating AI with combinatorial optimization presented by Tias Guns from KU Leuven at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Delve into three key approaches for augmenting optimization modeling with AI: preference learning in Vehicle Routing Problems, end-to-end decision-focused learning, and explanation generation. Discover the capabilities of CPMpy, a modern constraint programming language designed to seamlessly integrate multiple constraint solving paradigms with machine learning and scientific Python libraries. Gain insights into the future of human-aware optimization technology and its potential applications in automating industrial and societal processes.