Learning Permutations with Sinkhorn Policy Gradient

Learning Permutations with Sinkhorn Policy Gradient

18 May 2018

Sanjay Ranka

Papers citing "Learning Permutations with Sinkhorn Policy Gradient"

10 / 10 papers shown

Title
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem Yong Liang Goh W. Lee Xavier Bresson T. Laurent Nicholas Lim OT 26 9 0 02 Mar 2022
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 16 82 0 06 Jun 2020
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size Christoph Hertrich M. Skutella 50 21 0 28 May 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 12 23 0 12 Mar 2020
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 25 118 0 05 Jun 2019
TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture Gorker Alp Malazgirt O. Unsal A. Cristal 19 5 0 14 May 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 89 1,353 0 15 Nov 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs Irwan Bello Sayali Kulkarni Sagar Jain Craig Boutilier Ed H. Chi Elad Eban Xiyang Luo Alan Mackey Ofer Meshi 30 91 0 04 Oct 2018
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 270 3,466 0 21 Mar 2017