37 search results - page 4 / 8 » Nonparametric Model-Based Reinforcement Learning |
ESANN
2008
13 years 7 months ago
2008
CORR
2011
Springer
12 years 9 months ago
2011
Springer
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
NIPS
2008
13 years 7 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...