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. 2401.13770
  4. Cited By
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

24 January 2024
Piyush Jha
Zhengyu Li
Zhengyang Lu
Curtis Bright
Vijay Ganesh
ArXivPDFHTML

Papers citing "AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems"

3 / 3 papers shown
Title
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
Zhengyang Lu
Stefan Siemer
Piyush Jha
Joel D. Day
Florin Manea
Vijay Ganesh
14
1
0
30 Jan 2024
Learning to branch with Tree MDPs
Learning to branch with Tree MDPs
Lara Scavuzzo
F. Chen
Didier Chételat
Maxime Gasse
Andrea Lodi
Neil Yorke-Smith
K. Aardal
AI4CE
37
52
0
23 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
58
18
0
16 Oct 2021
1