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AAAI
2006
15 years 6 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
165
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NIPS
2001
15 years 6 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
SIAMSC
2008
165views more  SIAMSC 2008»
15 years 4 months ago
Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
Kristian Bredies, Dirk A. Lorenz
IIE
2007
56views more  IIE 2007»
15 years 4 months ago
Recursion Versus Iteration with the List as a Data Structure
Abstract. A reversible sequence of steps from the specification of the algorithm and the mathematical definition of the recurrent solution through the recursive procedure, the ta...
Izabella Foltynowicz
137
Voted
CGF
1999
79views more  CGF 1999»
15 years 4 months ago
Stochastic Iteration for Non-diffuse Global Illumination
This paper presents a single-pass, view-dependent method to solve the rendering equation, using a stochastic iterational scheme where the transport operator is selected randomly i...
László Szirmay-Kalos