DocumentCode
130260
Title
Solving Geometry Friends using Monte-Carlo Tree Search with directed graph representation
Author
Hyun-Tae Kim ; Du-Mim Yoon ; Kyung-Joong Kim
Author_Institution
Dept. of Comput. Sci. & Eng., Sejong Univ., Seoul, South Korea
fYear
2014
fDate
26-29 Aug. 2014
Firstpage
1
Lastpage
2
Abstract
Geometry Friends is a platform game with two different objects (rectangle and circle). Players can control the geometries to collect all the diamonds in the level. It requires both of efficient path planning and careful objects control with physics law. It has been revealed that it is not easy to achieve human-level performance for the game. In our early work, we show that simple A* search can be used for the problem. Although it´s useful, it sometimes falls into local optimum. In this work, we propose to use Monte-Carlo Tree Search (MCTS) to generate plans for the game object. Because the game levels are not suitable for the MCTS, we propose to represent them into a directed graph with special properties. Experimental results demonstrate the potential of the MCTS approach for the Geometry Friends game.
Keywords
Monte Carlo methods; computer games; directed graphs; path planning; tree searching; A* search; MCTS; Monte-Carlo tree search; directed graph representation; geometry friends game; human-level performance; path planning; physics law; platform game; Geometry Friends; Monte-Carlo Tree Search; Path-Finding; Physical Travelling Salesman Problem; Platform Game;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games (CIG), 2014 IEEE Conference on
Conference_Location
Dortmund
Type
conf
DOI
10.1109/CIG.2014.6932923
Filename
6932923
Link To Document