155 search results - page 25 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
IWCLS
2007
Springer
14 years 2 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
IJCAI
2003
13 years 10 months ago
2003
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
AOIS
2004
13 years 10 months ago
2004
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
JCM
2006
13 years 8 months ago
2006
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...