98 search results - page 1 / 20 » Using iterated reasoning to predict opponent strategies |
ATAL
2011
Springer
12 years 4 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
MLMTA
2003
13 years 5 months ago
2003
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
IDEAL
2009
Springer
13 years 9 months ago
2009
Springer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
AIIDE
2008
13 years 6 months ago
2008
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
ICCBR
2005
Springer
13 years 10 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 ...