ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.11523
  4. Cited By
Exploring search space trees using an adapted version of Monte Carlo
  tree search for combinatorial optimization problems
v1v2v3 (latest)

Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problems

22 October 2020
Jorik Jooken
Pieter Leyman
T. Wauters
P. D. Causmaecker
ArXiv (abs)PDFHTML

Papers citing "Exploring search space trees using an adapted version of Monte Carlo tree search for combinatorial optimization problems"

4 / 4 papers shown
Title
Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations
Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations
Maik Larooij
Petter Törnberg
LLMAGAI4CE
79
18
0
04 Apr 2025
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
Cyril Grelier
Olivier Goudet
Jin‐Kao Hao
56
0
0
24 Apr 2023
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
93
72
0
13 Jul 2022
On Monte Carlo Tree Search for Weighted Vertex Coloring
On Monte Carlo Tree Search for Weighted Vertex Coloring
Cyril Grelier
Olivier Goudet
Jin‐Kao Hao
59
8
0
03 Feb 2022
1