60 search results - page 4 / 12 » DFA Learning of Opponent Strategies |
CIG
2005
IEEE
14 years 3 months ago
2005
IEEE
This paper follows on from our previous work focused on formulating an efficient generic measure of user’s satisfaction (‘interest’) when playing predator/prey games. Viewin...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
ISIPTA
2003
IEEE
14 years 3 months ago
2003
IEEE
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
ATAL
2004
Springer
14 years 3 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...