579 search results - page 5 / 116 » Learning and Applying Competitive Strategies |
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
AMEC
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. This paper documents the development of three autonomous stocktrading agents within the framework of the Penn Exchange Simulator (PXS), a novel stock-trading simulator th...
ATAL
2011
Springer
12 years 11 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...
AUSAI
2008
Springer
14 years 27 days ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
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...