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Highly Cited

2015

Highly Cited

2015

We present a learned model of human body shape and pose-dependent shape variation that is more accurate than previous models and… Expand

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Highly Cited

2009

Highly Cited

2009

Sutton, Szepesvári and Maei (2009) recently introduced the first temporal-difference learning algorithm compatible with both… Expand

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Highly Cited

2008

Highly Cited

2008

We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online… Expand

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Highly Cited

2008

Highly Cited

2008

We introduce the first temporal-difference learning algorithm that is stable with linear function approximation and off-policy… Expand

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Highly Cited

2005

Highly Cited

2005

In this paper we investigate the problem of minimizing a linear objective function subject to a fuzzy relational equation… Expand

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Highly Cited

2003

Highly Cited

2003

We consider policy evaluation algorithms within the context of infinite-horizon dynamic programming problems with discounted cost… Expand

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Highly Cited

2002

Highly Cited

2002

Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support… Expand

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Highly Cited

2002

Highly Cited

2002

We present a technique to compute the explicit state-feedback solution to both the finite and infinite horizon linear quadratic… Expand

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Highly Cited

2002

Highly Cited

2002

It is shown that a piecewise linear function on a convex domain in R d can be represented as a boolean polynomial in terms of its… Expand

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Highly Cited

1995

Highly Cited

1995

A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inefficiency… Expand

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