i In this project we designed and developed improvements for the random search algorithm UCT with a focus on improving performance with directed acyclic graphs and groupings. We then performed experiments in order to quantify performance gains with both artificial game trees and computer Go. Finally, we analyzed the outcome of the experiments and presented our findings. Overall, this project represents original work in the area of random search algorithms on directed acyclic graphs and provides several opportunities for further research
textabstractThis paper deals with algorithms searching trees generated by two-person, zero-sum games...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
Abstract. This paper deals with algorithms searching trees generated by two-person, zero-sum games w...
Current game-playing programs have developed numerous move ordering and search reduction techniques ...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
Monte-Carlo Tree Search (MCTS) is a very successful approach for improving the performance of game-p...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
Abstract. Monte-Carlo tree search, especially the UCT algorithm and its en-hancements, have become e...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
We present a new parallel game-tree search algorithm. Our approach classifies a processor�s availab...
AbstractWe describe a novel parallel randomized search algorithm for two-player games. The algorithm...
International audienceThe ancient oriental game of Go has long been considered a grand challenge for...
textabstractThis paper deals with algorithms searching trees generated by two-person, zero-sum games...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
Abstract. This paper deals with algorithms searching trees generated by two-person, zero-sum games w...
Current game-playing programs have developed numerous move ordering and search reduction techniques ...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
Monte-Carlo Tree Search (MCTS) is a very successful approach for improving the performance of game-p...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
Abstract. Monte-Carlo tree search, especially the UCT algorithm and its en-hancements, have become e...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
We present a new parallel game-tree search algorithm. Our approach classifies a processor�s availab...
AbstractWe describe a novel parallel randomized search algorithm for two-player games. The algorithm...
International audienceThe ancient oriental game of Go has long been considered a grand challenge for...
textabstractThis paper deals with algorithms searching trees generated by two-person, zero-sum games...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
Abstract. This paper deals with algorithms searching trees generated by two-person, zero-sum games w...