Learning to Search via Retrospective Imitation

3 April 2018

Papers citing "Learning to Search via Retrospective Imitation"

8 / 8 papers shown

Title
Towards Foundation Models for Mixed Integer Linear Programming Sirui Li Janardhan Kulkarni Ishai Menache Cathy Wu Beibin Li 57 4 0 24 Feb 2025
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
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 23 0 13 Jul 2022
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Antoine Prouvost Justin Dumouchelle Lara Scavuzzo Maxime Gasse Didier Chételat Andrea Lodi OffRL 27 46 0 11 Nov 2020
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies Giulia Zarpellon Jason Jo Andrea Lodi Yoshua Bengio 24 96 0 12 Feb 2020
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 66 473 0 04 Jun 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 24 51 0 28 Feb 2019