Sciweavers

Share
10 search results - page 1 / 2
» Strategic Foresighted Learning in Competitive Multi-Agent Ga...
Sort
View
ECAI
2006
Springer
9 years 27 days ago
Strategic Foresighted Learning in Competitive Multi-Agent Games
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...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
CIA
1998
Springer
9 years 1 months ago
Cooperative vs. Competitive Multi-Agent Negotiations in Retail Electronic Commerce
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...
Robert H. Guttman, Pattie Maes
IAT
2010
IEEE
8 years 6 months ago
Concept Learning Games: The Game of Query and Response
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...
Nima Mirbakhsh, Arman Didandeh, Mohsen Afsharchi
AAAI
2010
8 years 10 months ago
Recognizing Multi-Agent Activities from GPS Data
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...
Adam Sadilek, Henry A. Kautz
LAMAS
2005
Springer
9 years 2 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artiļ¬cial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
books