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POMO: Policy Optimization with Multiple Optima for Reinforcement
  Learning

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

30 October 2020
Yeong-Dae Kwon
Jinho Choo
Byoungjip Kim
Iljoo Yoon
Youngjune Gwon
Seungjai Min
ArXivPDFHTML

Papers citing "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

50 / 53 papers shown
Title
Preference Optimization for Combinatorial Optimization Problems
Preference Optimization for Combinatorial Optimization Problems
Mingjun Pan
Guanquan Lin
You-Wei Luo
Bin Zhu
Zhien Dai
Lijun Sun
Chun Yuan
33
0
0
13 May 2025
USPR: Learning a Unified Solver for Profiled Routing
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
49
0
0
08 May 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
Zefang Zong
Xiaochen Wei
Guozhen Zhang
Chen Gao
Huandong Wang
Yong Li
39
0
0
07 May 2025
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application
Abdo Abouelrous
Laurens Bliea
A. Gabor
Yaoxin Wu
Yingqian Zhang
31
0
0
11 Apr 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
57
0
0
16 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
120
1
0
05 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Haoyu Lei
Kaiwen Zhou
Yunshui Li
Zhitang Chen
Farzan Farnia
DiffM
75
1
0
15 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
68
6
0
05 Feb 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
63
0
0
31 Jan 2025
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeon-Seob Kim
Minsu Kim
Sanghyeok Choi
Jinkyoo Park
56
3
0
31 Dec 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang
Donglin Yang
Renjie Liao
DiffM
211
0
0
03 Oct 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
39
7
0
21 Jun 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
61
10
0
21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
6
0
01 Jun 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
63
6
0
03 May 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary
  Computation via Deep Reinforcement Learning
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
Zeyuan Ma
Jiacheng Chen
Hongshu Guo
Yining Ma
Yue-jiao Gong
46
7
0
12 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
50
6
0
09 Apr 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
45
24
0
11 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
38
0
0
23 Feb 2024
GLOP: Learning Global Partition and Local Construction for Solving
  Large-scale Routing Problems in Real-time
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
37
34
0
13 Dec 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 2023
Learning the Efficient Frontier
Learning the Efficient Frontier
Philippe Chatigny
Ivan Sergienko
Ryan Ferguson
Jordan Weir
Maxime Bergeron
19
1
0
27 Sep 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv
Bingxin Zhou
OffRL
44
0
0
05 Jul 2023
Policy-Based Self-Competition for Planning Problems
Policy-Based Self-Competition for Planning Problems
Jonathan Pirnay
Q. Göttl
Jakob Burger
D. G. Grimm
36
3
0
07 Jun 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as
  Sequential Generation with Equity Context
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
19
9
0
05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
39
7
0
02 Jun 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems
  with GFlowNets
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Dinghuai Zhang
H. Dai
Nikolay Malkin
Aaron Courville
Yoshua Bengio
L. Pan
26
36
0
26 May 2023
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with
  Data-Efficient Deep Reinforcement Learning
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning
Dong Ho Lee
Jaemyung Ahn
22
6
0
02 Mar 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
38
121
0
16 Feb 2023
Neural Capacitated Clustering
Neural Capacitated Clustering
Jonas K. Falkner
Lars Schmidt-Thieme
32
1
0
10 Feb 2023
Combining Constructive and Perturbative Deep Learning Algorithms for the
  Capacitated Vehicle Routing Problem
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
Roberto García-Torres
Alitzel Adriana Macias-Infante
S. E. Conant-Pablos
J. C. Ortíz-Bayliss
Hugo Terashima-Marín
20
1
0
25 Nov 2022
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop
  Scheduling
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
22
17
0
20 Nov 2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective
  Optimization Problems
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems
Remco Coppens
Robbert Reijnen
Yingqian Zhang
Laurens Bliek
Berend Steenhuisen
42
0
0
01 Nov 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
45
80
0
08 Oct 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation
  on the Traveling Salesman Problem
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
65
40
0
22 Sep 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with
  Lagrangian Relaxation
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Qiaoyue Tang
Yangzhe Kong
Lemeng Pan
Choon-woo Lee
30
3
0
20 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Simulation-guided Beam Search for Neural Combinatorial Optimization
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
30
65
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
37
30
0
13 Jul 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Minjun Kim
Junyoung Park
Jinkyoo Park
29
2
0
06 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
78
80
0
26 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
Large Neighborhood Search based on Neural Construction Heuristics
Large Neighborhood Search based on Neural Construction Heuristics
Jonas K. Falkner
Daniela Thyssens
Lars Schmidt-Thieme
AI4TS
22
3
0
02 May 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Zeyang Zhang
Ziwei Zhang
Xin Wang
Wenwu Zhu
26
42
0
07 Apr 2022
A Deep Reinforcement Learning Approach for Solving the Traveling
  Salesman Problem with Drone
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Aigerim Bogyrbayeva. Taehyun Yoon
Taehyun Yoon
Hanbum Ko
Sungbin Lim
Hyokun Yun
C. Kwon
38
65
0
22 Dec 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson
  Problem
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
33
63
0
11 Oct 2021
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
83
130
0
06 Oct 2021
Learning Enhanced Optimisation for Routing Problems
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
24
3
0
17 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle Routing
Sirui Li
Zhongxia Yan
Cathy Wu
25
109
0
08 Jul 2021
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