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Ant Colony Sampling with GFlowNets for Combinatorial Optimization

Ant Colony Sampling with GFlowNets for Combinatorial Optimization

11 March 2024
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
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Papers citing "Ant Colony Sampling with GFlowNets for Combinatorial Optimization"

30 / 30 papers shown
Title
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
37
0
0
08 May 2025
Less is More: Adaptive Program Repair with Bug Localization and Preference Learning
Zhenlong Dai
Bingrui Chen
Zhuoluo Zhao
Xiu Tang
Sai Wu
Chang Yao
Zhipeng Gao
Jingyuan Chen
KELM
39
2
0
09 Mar 2025
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Muheng Li
Ruqi Zhang
57
0
0
06 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang
Jingfeng Yang
Zhiguang Cao
Xu Chi
50
1
0
03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
24
1
0
02 Mar 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Taeyoung Yun
Dinghuai Zhang
Jinkyoo Park
Ling Pan
DiffM
73
2
0
17 Feb 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
36
3
0
31 Dec 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi
Yining Ma
Jianan Zhou
Wen Song
Zhiguang Cao
Yaoxin Wu
Jie Zhang
29
6
0
28 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhiqi Shen
AAML
18
3
0
07 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of
  Generative Flow Networks
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
Rui Hu
Yifan Zhang
Zhuoran Li
Longbo Huang
30
0
0
03 Oct 2024
Adaptive teachers for amortized samplers
Adaptive teachers for amortized samplers
Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
52
2
0
02 Oct 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto
Chuanbo Hua
Laurin Luttmann
Jiwoo Son
Junyoung Park
Kyuree Ahn
Changhyun Kwon
Lin Xie
Jinkyoo Park
33
1
0
05 Sep 2024
Can a Bayesian Oracle Prevent Harm from an Agent?
Can a Bayesian Oracle Prevent Harm from an Agent?
Yoshua Bengio
Michael K. Cohen
Nikolay Malkin
Matt MacDermott
Damiano Fornasiere
Pietro Greiner
Younesse Kaddar
34
4
0
09 Aug 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
43
10
0
21 Jun 2024
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples
Fangxu Yu
Lai Jiang
Haoqiang Kang
Shibo Hao
Lianhui Qin
LRM
AI4CE
86
10
0
09 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
60
3
0
01 Jun 2024
Pessimistic Backward Policy for GFlowNets
Pessimistic Backward Policy for GFlowNets
Hyosoon Jang
Yunhui Jang
Minsu Kim
Jinkyoo Park
Sungsoo Ahn
49
4
0
25 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
41
17
0
02 May 2024
Discrete Probabilistic Inference as Control in Multi-path Environments
Discrete Probabilistic Inference as Control in Multi-path Environments
T. Deleu
Padideh Nouri
Nikolay Malkin
Doina Precup
Yoshua Bengio
109
28
0
15 Feb 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
29
42
0
02 Feb 2024
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
26
7
0
02 Jun 2023
Generative Augmented Flow Networks
Generative Augmented Flow Networks
L. Pan
Dinghuai Zhang
Aaron Courville
Longbo Huang
Yoshua Bengio
104
42
0
07 Oct 2022
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
130
77
0
02 Oct 2022
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
Haeyeon Kim
Minsu Kim
Federico Berto
Joungho Kim
Jinkyoo Park
43
14
0
26 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
65
77
0
26 May 2022
Trajectory balance: Improved credit assignment in GFlowNets
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin
Moksh Jain
Emmanuel Bengio
Chen Sun
Yoshua Bengio
145
165
0
31 Jan 2022
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
75
128
0
06 Oct 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie M. Zhang
Puay Siew Tan
Chi Xu
55
297
0
23 Oct 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
124
48
0
20 Oct 2020
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
69
1,443
0
29 Nov 2016
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