2750 search results - page 146 / 550 » The complexity of learning SUBSEQ(A) |
162
click to vote
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
123
click to vote
ALT
2002
Springer
16 years 3 months ago
2002
Springer
In this paper, we close the gap between the simple and straight-forward implementations of top-down hill-climbing that can be found in the literature, and the rather complex strate...
174
click to vote
ICRA
2009
IEEE
16 years 1 months ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
171
click to vote
ICCBR
2009
Springer
16 years 28 days ago
2009
Springer
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
194
click to vote
PKDD
2009
Springer
16 years 28 days ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...