60 search results - page 11 / 12 » DFA Learning of Opponent Strategies |
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...
AUSAI
2001
Springer
13 years 10 months ago
2001
Springer
: Other work has shown that adaptive learning can be highly successful in developing programs which are able to play games at a level similar to human players and, in some cases, e...
ICCBR
2005
Springer
13 years 11 months ago
2005
Springer
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
EWCBR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
ATAL
2007
Springer
13 years 12 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...