Continuous state dynamic programming via nonexpansive approximation

被引:14
作者
Stachurski, John [1 ]
机构
[1] Kyoto Univ, Inst Econ Res, Sakyo Ku, Kyoto 6068501, Japan
基金
澳大利亚研究理事会;
关键词
numerical dynamic programming; nonexpansive approximation;
D O I
10.1007/s10614-007-9111-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies fitted value iteration for continuous state numerical dynamic programming using nonexpansive function approximators. A number of approximation schemes are discussed. The main contribution is to provide error bounds for approximate optimal policies generated by the value iteration algorithm.
引用
收藏
页码:141 / 160
页数:20
相关论文
共 21 条
[1]   Comparing solution methods for dynamic equilibrium economies [J].
Aruoba, S. Boragan ;
Fernandez-Villaverde, Jesus ;
Rubio-Ramirez, Juan F. .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2006, 30 (12) :2477-2508
[2]   A theory of commodity price fluctuations [J].
Chambers, MJ ;
Bailey, RE .
JOURNAL OF POLITICAL ECONOMY, 1996, 104 (05) :924-957
[3]   Competitive storage and commodity price dynamics [J].
Deaton, A ;
Laroque, G .
JOURNAL OF POLITICAL ECONOMY, 1996, 104 (05) :896-923
[4]  
Drummond C, 1996, TR9605 COMP SCI DEP
[5]  
Gordon G., 1995, P 12 INT C MACH LEAR
[6]  
GUESTRIN C, 2001, IJCAI 01, V1, P673
[7]  
Hernandez-Lerma O., 1999, FURTHER TOPICS DISCR
[8]  
Judd K. L., 1994, NUMERICAL DYNA UNPUB
[9]   PROJECTION METHODS FOR SOLVING AGGREGATE GROWTH-MODELS [J].
JUDD, KL .
JOURNAL OF ECONOMIC THEORY, 1992, 58 (02) :410-452
[10]  
M&OSOL