ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...