16 search results - page 1 / 4 » Monte-Carlo Tree Search: A New Framework for Game AI |
AIIDE
2008
13 years 7 months ago
2008
Classic approaches to game AI require either a high quality of domain knowledge, or a long time to generate effective AI behaviour. These two characteristics hamper the goal of es...
ACG
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
TCIAIG
2010
12 years 11 months ago
2010
ACL
2011
12 years 8 months ago
2011
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
AAAI
2010
13 years 6 months ago
2010
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...