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Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
v1v2v3 (latest)

Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP

2 March 2022
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
ArXiv (abs)PDFHTML

Papers citing "Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP"

17 / 17 papers shown
Title
Learning to Iteratively Solve Routing Problems with Dual-Aspect
  Collaborative Transformer
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Le Zhang
Zhenghua Chen
Jing Tang
130
137
0
06 Oct 2021
PathBench: A Benchmarking Platform for Classical and Learned Path
  Planning Algorithms
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
Alexandru Toma
Hao-Ya Hsueh
H. Jaafar
Riku Murai
Paul H. J. Kelly
Sajad Saeedi
42
21
0
04 May 2021
Learning the Pareto Front with Hypernetworks
Learning the Pareto Front with Hypernetworks
Aviv Navon
Aviv Shamsian
Gal Chechik
Ethan Fetaya
106
145
0
08 Oct 2020
Multi-Agent Routing Value Iteration Network
Multi-Agent Routing Value Iteration Network
Quinlan Sykora
Mengye Ren
R. Urtasun
128
38
0
09 Jul 2020
Learning Combinatorial Optimization on Graphs: A Survey with
  Applications to Networking
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
N. Vesselinova
Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
GNNAI4CE
71
146
0
22 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
113
624
0
07 Mar 2020
A Generalized Algorithm for Multi-Objective Reinforcement Learning and
  Policy Adaptation
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang
Xingyuan Sun
Karthik Narasimhan
79
256
0
21 Aug 2019
Deep Reinforcement Learning for Multi-objective Optimization
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li
Tao Zhang
Rui Wang
AI4CE
59
272
0
06 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
GNN
100
374
0
04 Jun 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
155
1,392
0
15 Nov 2018
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
169
1,288
0
10 Oct 2018
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
83
543
0
28 May 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
123
1,223
0
22 Mar 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
93
907
0
12 Feb 2018
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,493
0
29 Nov 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
124
3,060
0
09 Jun 2015
A Survey of Multi-Objective Sequential Decision-Making
A Survey of Multi-Objective Sequential Decision-Making
D. Roijers
Peter Vamplew
Shimon Whiteson
Richard Dazeley
79
656
0
04 Feb 2014
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