Title
Structured Parallel Programming for Monte Carlo Tree Search.
Abstract
In this paper, we present a new algorithm for parallel Monte Carlo tree search (MCTS). It is based on the pipeline pattern and allows flexible management of the control flow of the operations in parallel MCTS. The pipeline pattern provides for the first structured parallel programming approach to MCTS. Moreover, we propose a new lock-free tree data structure for parallel MCTS which removes synchronization overhead. The Pipeline Pattern for Parallel MCTS algorithm (called 3PMCTS), scales very well to higher numbers of cores when compared to the existing methods.
Year
Venue
Field
2017
arXiv: Artificial Intelligence
Synchronization,Monte Carlo method,Monte Carlo tree search,Computer science,Parallel computing,Control flow,Tree (data structure),Hybrid Monte Carlo
DocType
Volume
Citations 
Journal
abs/1704.00325
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
s ali mirsoleimani122.74
Aske Plaat252472.18
H. Jaap van den Herik3861137.51
Jos Vermaseren454.15