190 search results - page 13 / 38 » Abstraction and Generalization in Reinforcement Learning: A ... |
JSAC
2010
13 years 6 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
AGENTS
1999
Springer
13 years 12 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
ECAL
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The paper presents a method to guide the self-organised development of behaviours of autonomous robots. In earlier publications we demonstrated how to use the homeokinesi...