10 search results - page 1 / 2 » Strategic Foresighted Learning in Competitive Multi-Agent Ga... |
ECAI
2006
Springer
14 years 2 months ago
2006
Springer
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
IAT
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract--This article deals with the issue of concept learning and tries to have a game theoretic view over the process of cooperative concept learning among agents in a multi-age...
CIA
1998
Springer
14 years 3 months ago
1998
Springer
A key lesson learned from economic and game theory research is that negotiation protocols have substantial, rippling effects on the overall nature of the system. online auctions a...
AAAI
2010
14 years 9 days ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
LAMAS
2005
Springer
14 years 4 months ago
2005
Springer
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...