316 search results - page 15 / 64 » Learning to Play the Game of Chess |
ICML
2003
IEEE
16 years 15 days ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
113
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HCI
2009
14 years 9 months ago
2009
Abstract. The archetype of many novel research activities is called cognition. Although separate definitions exist to define a technical cognitive system, it is typically character...
ECML
2006
Springer
15 years 3 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...
CG
2006
Springer
15 years 1 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
110
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IWEC
2004
15 years 1 months ago
2004
The central problem that this paper addresses is how to manage dynamic change within game environments in response to variable player requirements and ability. In particular, we di...