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Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero

Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero

28 May 2019
Kenshi Abe
Zijian Xu
Issei Sato
Masashi Sugiyama
    GNN
    AI4CE
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Papers citing "Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero"

30 / 30 papers shown
Title
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization
Arman Mielke
Uwe Bauknecht
Thilo Strauss
Mathias Niepert
69
0
0
26 Feb 2025
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems
Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems
Li Dong
Feibo Jiang
Yubo Peng
37
1
0
23 Feb 2025
One Model, Any Conjunctive Query: Graph Neural Networks for Answering
  Complex Queries over Knowledge Graphs
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs
Krzysztof Olejniczak
Xingyue Huang
.Ismail .Ilkan Ceylan
Mikhail Galkin
GNN
49
0
0
21 Sep 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural
  Networks
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin
Xueming Yan
Shiqing Liu
Xiangyu Wang
39
3
0
19 Jun 2024
Deep learning-driven scheduling algorithm for a single machine problem
  minimizing the total tardiness
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Michal Bouška
P. Šůcha
A. Novák
Z. Hanzálek
28
9
0
19 Feb 2024
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard
  Combinatorial Problems
AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems
Piyush Jha
Zhengyu Li
Zhengyang Lu
Curtis Bright
Vijay Ganesh
13
4
0
24 Jan 2024
BalMCTS: Balancing Objective Function and Search Nodes in MCTS for
  Constraint Optimization Problems
BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems
Yingkai Xiao
Jingjin Liu
H. Zhuo
24
0
0
26 Dec 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial
  Optimization Benchmark
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto
Chuanbo Hua
Junyoung Park
Laurin Luttmann
Yining Ma
...
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
OffRL
22
27
0
29 Jun 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No
  Supervision
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
P. F. Pimenta
Pedro H. C. Avelar
Luís C. Lamb
10
1
0
19 Apr 2023
RELS-DQN: A Robust and Efficient Local Search Framework for
  Combinatorial Optimization
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization
Yuanhang Shao
Tonmoy Dey
Nikola Vučković
Luke Van Popering
Alan Kuhnle
19
0
0
11 Apr 2023
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov
  Decision Process
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process
Kevin Du
I. Gemp
Yi Wu
Yingying Wu
16
0
0
17 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
16
38
0
06 Nov 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
28
62
0
13 Jul 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization:
  Learning to Branch
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
Tianyu Zhang
Amin Banitalebi-Dehkordi
Yong Zhang
BDL
OffRL
8
14
0
14 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
68
78
0
26 May 2022
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search
  Framework
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
Elias Boutros Khalil
Pashootan Vaezipoor
B. Dilkina
39
18
0
16 Oct 2021
Solving Graph-based Public Good Games with Tree Search and Imitation
  Learning
Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
6
1
0
12 Jun 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph
  Optimization Problems on MultiGPU Systems
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Weijian Zheng
Dali Wang
Fengguang Song
GNN
OffRL
AI4CE
10
1
0
18 May 2021
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
Animesh Sinha
Utkarsh Azad
Harjinder Singh
34
26
0
01 Apr 2021
Abelian Neural Networks
Abelian Neural Networks
Kenshi Abe
Takanori Maehara
Issei Sato
11
2
0
24 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial
  Problems
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
Yiwei Bai
Wenting Zhao
Carla P. Gomes
8
0
0
05 Feb 2021
Investment vs. reward in a competitive knapsack problem
Investment vs. reward in a competitive knapsack problem
Oren Neumann
C. Gros
8
2
0
26 Jan 2021
Active Learning of Causal Structures with Deep Reinforcement Learning
Active Learning of Causal Structures with Deep Reinforcement Learning
Amir Amirinezhad
Saber Salehkaleybar
Matin Hashemi
CML
16
12
0
07 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
17
5
0
26 Aug 2020
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
Hao Xu
Ka-Hei Hui
Chi-Wing Fu
Hao Zhang
SSL
22
4
0
05 Jul 2020
Learning to Solve Combinatorial Optimization Problems on Real-World
  Graphs in Linear Time
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
12
82
0
06 Jun 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
GNN
AI4CE
12
141
0
22 May 2020
Generalized Planning With Deep Reinforcement Learning
Generalized Planning With Deep Reinforcement Learning
Or Rivlin
Tamir Hazan
E. Karpas
OffRL
8
48
0
05 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
30
595
0
07 Mar 2020
Reinforcement Learning Enhanced Quantum-inspired Algorithm for
  Combinatorial Optimization
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
18
21
0
11 Feb 2020
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