Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories

28 May 2022

Papers citing "Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories"

11 / 11 papers shown

Title
Modeling Churn in Recommender Systems with Aggregated Preferences Gur Keinan Omer Ben-Porat 34 0 0 09 Feb 2025
Search Strategy Generation for Branch and Bound Using Genetic Programming Gwen Maudet Grégoire Danoy 64 1 0 12 Dec 2024
Discounted Pseudocosts in MILP Krunal Kishor Patel 23 0 0 07 Jul 2024
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation Haoyang Liu Yufei Kuang Jie Wang Xijun Li Yongdong Zhang Feng Wu AAML 26 7 0 22 Oct 2023
Reinforcement Learning for Node Selection in Branch-and-Bound Alexander Mattick Christopher Mutschler 9 2 0 29 Sep 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks Christopher W. F. Parsonson Zacharaya Shabka Alessandro Ottino G. Zervas 11 0 0 31 Jan 2023
UNSAT Solver Synthesis via Monte Carlo Forest Search Chris Cameron Jason S. Hartford Taylor Lundy T. Truong Alan Milligan Rex Chen Kevin Leyton-Brown 13 1 0 22 Nov 2022
Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks Zacharaya Shabka G. Zervas GNN 14 4 0 26 Oct 2022
Lookback for Learning to Branch Prateek Gupta Elias Boutros Khalil Didier Chételat Maxime Gasse Yoshua Bengio Andrea Lodi M. P. Kumar 8 22 0 30 Jun 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 107 238 0 23 Dec 2020