584 search results - page 14 / 117 » Reinforcement Learning Task Clustering |
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
SIGIR
2003
ACM
14 years 1 months ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
AAAI
2010
13 years 10 months ago
2010
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
ICARCV
2006
IEEE
14 years 2 months ago
2006
IEEE
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
IDEAL
2007
Springer
14 years 2 months ago
2007
Springer
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...