340 search results - page 42 / 68 » Kernelized value function approximation for reinforcement le... |
142
click to vote
JCP
2007
15 years 2 months ago
2007
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
124
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
120
click to vote
JC
2008
15 years 2 months ago
2008
We study multivariate approximation for continuous functions in the average case setting. The space of d variate continuous functions is equipped with the zero mean Gaussian measu...
130
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
131
Voted
ICCV
2009
IEEE
15 years 7 days ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...