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IJCAI
2007
13 years 6 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
NIPS
1993
13 years 5 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
ACMIDC
2009
13 years 8 months ago
Tangible optical chess: a laser strategy game on an interactive tabletop
This paper presents Tangible Tracking Table, an interactive tabletop display, and Optical Chess, a strategy game. We discuss the design and implementation of both systems and repo...
David Joyner, Chih-Sung (Andy) Wu, Ellen Yi-Luen D...
ACG
2009
Springer
13 years 11 months ago
Monte-Carlo Tree Search in Settlers of Catan
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...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
DIGRA
2005
Springer
13 years 10 months ago
Playful Play with Games: Linking Level Editing to Learning in Art and Design
The title ‘Playful Play with Games’ refers to the possibility of creative involvement with games by altering their structure in a playful way. The focus of this paper is on mo...
Maia Engeli