45 search results - page 1 / 9 » Learning Human-Like Opponent Behavior for Interactive Comput... |
DAGM
2003
Springer
13 years 10 months ago
2003
Springer
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
CIG
2005
IEEE
13 years 10 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
2011
Springer
12 years 4 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
AI
1999
Springer
13 years 4 months ago
1999
Springer
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
ICMAS
1998
13 years 6 months ago
1998
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...