60 search results - page 3 / 12 » DFA Learning of Opponent Strategies |
ATAL
2011
Springer
12 years 5 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...
IAT
2009
IEEE
13 years 9 months ago
2009
IEEE
Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
ROBOCUP
2001
Springer
13 years 10 months ago
2001
Springer
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
ISTA
2007
13 years 7 months ago
2007
: Soccer simulation is an effort to motivate researchers to perform artificial and robotic intelligence investigations in a multi-agent system framework. In this paper, we propose ...