97 search results - page 3 / 20 » Learning against multiple opponents |
ATAL
2004
Springer
14 years 2 months ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
ICCBR
2005
Springer
14 years 2 months ago
2005
Springer
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
AAAI
2008
13 years 11 months ago
2008
We describe a simple environment to study cooperation between two agents and a method of achieving cooperation in that environment. The environment consists of randomly generated ...
IWEC
2004
13 years 10 months ago
2004
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played. As such it provides a mechanism to deal...
CIG
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...