906 search results - page 2 / 182 » Games for Learning and Learning from Games |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
24
Voted
GRAPHICSINTERFACE
2003
13 years 9 months ago
2003
Computer games are one of the most successful application domains in the history of interactive systems. This success has come despite the fact that games were ‘separated at bir...
GAMEON
2008
13 years 9 months ago
2008
Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rap...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
31
Voted
AIIDE
2006
13 years 9 months ago
2006
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...