Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm

20 May 2020

Papers citing "Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm"

7 / 7 papers shown

Title
TreeDQN: Learning to minimize Branch-and-Bound tree Dmitry Sorokin A. Kostin 23 1 0 09 Jun 2023
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks Abdel Ghani Labassi Didier Chételat Andrea Lodi 24 31 0 30 Oct 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories Christopher W. F. Parsonson Alexandre Laterre Thomas D. Barrett 27 19 0 28 May 2022
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen M. Yuan AI4CE 40 72 0 06 Mar 2022
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends Lingying Huang Xiaomeng Chen Wei Huo Jiazheng Wang Fan Zhang Bo Bai Ling Shi 21 23 0 05 Nov 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 34 352 0 18 Feb 2021
Curriculum learning for multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 11 4 0 07 Jul 2020