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CAGD
2006
73views more  CAGD 2006»
14 years 11 months ago
Rational surfaces with linear normals and their convolutions with rational surfaces
It is shown that polynomial (or rational) parametric surfaces with a linear field of normal vectors are dual to graphs bivariate polynomials (or rational functions). We discuss th...
Maria Lucia Sampoli, Martin Peternell, Bert Jü...
AUTOMATICA
2005
116views more  AUTOMATICA 2005»
14 years 11 months ago
Monotonically convergent iterative learning control for linear discrete-time systems
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking9 error norms are derived. By using the Ma...
Kevin L. Moore, Yangquan Chen, Vikas Bahl
MP
2002
93views more  MP 2002»
14 years 11 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...
SIAMCO
2002
81views more  SIAMCO 2002»
14 years 11 months ago
Stability of Planar Switched Systems: The Linear Single Input Case
Abstract. We study the stability of the origin for the dynamical system x(t) = u(t)Ax(t)+(1u(t))Bx(t), where A and B are two 2
Ugo V. Boscain
NIPS
2001
15 years 1 months ago
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
Gregory Z. Grudic, Lyle H. Ungar