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cs.LG2026
Imitation Learning for Combinatorial Optimisation under Uncertainty
Prakash Gawas, Antoine Legrain, Louis-Martin Rousseau
Imitation learning (IL) provides a data-driven framework for approximating policies for large-scale combinatorial optimisation problems formulated as sequential decision problems (…
cs.LG2021★ 1 cited
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment
Tu-San Pham, Antoine Legrain, Patrick De Causmaecker +1
Patient scheduling is a difficult task involving stochastic factors such as the unknown arrival times of patients. Similarly, the scheduling of radiotherapy for cancer treatments n…