Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning

10 September 2018

Papers citing "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning"

7 / 7 papers shown

Title
Conformal Prediction with Upper and Lower Bound Models Miao Li Michael Klamkin Mathieu Tanneau Reza Zandehshahvar Pascal Van Hentenryck 48 0 0 06 Mar 2025
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams R. Patel Elias Boutros Khalil 29 0 0 06 Jul 2023
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search Man Luo Bowen Du Konstantin Klemmer Hongming Zhu Hongkai Wen 21 5 0 03 Nov 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Learning Objective Boundaries for Constraint Optimization Problems Helge Spieker A. Gotlieb 9 3 0 20 Jun 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem Antoine François Quentin Cappart Louis-Martin Rousseau 16 13 0 28 Sep 2019