Predicting Tactical Solutions to Operational Planning Problems under
Imperfect Information

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Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information

31 July 2018

Sébastien Lachapelle

Simon Lacoste-Julien

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Papers citing "Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information"

14 / 14 papers shown

Title
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 235 2 0 12 Jan 2025
Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search Cynthia Barnhart Alexandre Jacquillat Alexandria Schmid 58 0 0 29 Aug 2024
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty T. Hejazi Zahra Ghadimkhani Arezoo Borji 46 0 0 17 Mar 2024
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making Dogacan Yilmaz ˙I. Esra B¨uy¨uktahtakın 91 13 0 12 Nov 2023
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 58 2 0 24 Nov 2022
Learning Optimal Solutions via an LSTM-Optimization Framework Dogacan Yilmaz I. E. Büyüktahtakin 84 12 0 06 Jul 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning Eric Larsen Emma Frejinger B. Gendron Andrea Lodi 55 19 0 02 May 2022
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization Xi Lin Zhiyuan Yang Qingfu Zhang 84 70 0 29 Mar 2022
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment Tu-San Pham A. Legrain P. D. Causmaecker Louis-Martin Rousseau 30 1 0 16 Dec 2021
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function M. Abolghasemi B. Abbasi Toktam Babaei S. Z. Hosseinifard AI4CE 46 9 0 14 May 2021
Reinforcement Learning for Freight Booking Control Problems Justin Dumouchelle Emma Frejinger Andrea Lodi 52 1 0 29 Jan 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 98 58 0 10 Dec 2020
Learning Combined Set Covering and Traveling Salesman Problem Yuwen Yang J. Rajgopal 31 4 0 07 Jul 2020
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location Andrea Lodi Luca Mossina Emmanuel Rachelson 54 30 0 12 Jul 2019

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