239 search results - page 37 / 48 » Adaptive learning in evolving task allocation networks |
PERCOM
2008
ACM
13 years 6 months ago
2008
ACM
This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components deali...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
JMLR
2006
13 years 6 months ago
2006
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...