51 search results - page 6 / 11 » Opponent Modeling in Real-Time Strategy Games |
ATAL
2004
Springer
15 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...
JDCTA
2010
14 years 4 months ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
AIMS
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. Many researchers have used game theory to study the problem of encouraging cooperation in peer-to-peer and mobile ad hoc networks, where resources are provided collective...
NN
2006
Springer
14 years 9 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
ECAI
2004
Springer
15 years 2 months ago
2004
Springer
Many decision problems can be modelled as adversarial constraint satisfaction, which allows us to integrate methods from AI game playing. In particular, by using the idea of oppone...