Artificial Intelligence · Computer Science
A New Paradigm for Minimax Search
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin
2014-04-08
Artificial Intelligence · Computer Science
A Minimax Algorithm Better Than Alpha-beta?: No and Yes
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin
2017-02-20
Computer Science and Game Theory · Computer Science
Monte Carlo *-Minimax Search
Marc Lanctot, Abdallah Saffidine, Joel Veness, Christopher Archibald +1
2013-04-23
Artificial Intelligence · Computer Science
Best-First and Depth-First Minimax Search in Practice
Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin
2015-05-08
Artificial Intelligence · Computer Science
Monte Carlo Tree Search with Heuristic Evaluations using Implicit Minimax Backups
Marc Lanctot, Mark H. M. Winands, Tom Pepels, Nathan R. Sturtevant
2014-06-23
Artificial Intelligence · Computer Science
Multiple Policy Value Monte Carlo Tree Search
Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu
2019-06-03
Distributed, Parallel, and Cluster Computing · Computer Science
Supervised Learning Based Algorithm Selection for Deep Neural Networks
Shaohuai Shi, Pengfei Xu, Xiaowen Chu
2017-03-20
Artificial Intelligence · Computer Science
Exploring Explainable Multi-agent MCTS-minimax Hybrids in Board Game Using Process Mining
Yiyu Qian, Tim Miller, Zheng Qian, Liyuan Zhao
2025-09-25
Social and Information Networks · Computer Science
A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem
Enqiang Zhu, Yu Zhang, Shengzhi Wang, Darren Strash +1
2023-08-01
Distributed, Parallel, and Cluster Computing · Computer Science
Comparative study of performance of parallel Alpha Beta Pruning for different architectures
Shubhendra Pal Singhal, M. Sridevi
2020-08-10
Artificial Intelligence · Computer Science
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao
2017-06-14
Machine Learning · Computer Science
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees
Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans +1
2019-04-09
Computer Vision and Pattern Recognition · Computer Science
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian +1
2019-10-03
Artificial Intelligence · Computer Science
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki, Jacek Mańdziuk
2023-04-04
Distributed, Parallel, and Cluster Computing · Computer Science
ProTuner: Tuning Programs with Monte Carlo Tree Search
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William Moses +3
2020-05-29
Artificial Intelligence · Computer Science
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu +1
2020-12-16