eprintid: 1763
rev_number: 4
eprint_status: archive
userid: 46
dir: disk0/00/00/17/63
datestamp: 2013-09-17 13:12:32
lastmod: 2013-09-17 13:12:32
status_changed: 2013-09-17 13:12:32
type: conference_item
succeeds: 1661
metadata_visibility: no_search
creators_name: Gnecco, Giorgio
creators_name: Sanguineti, Marcello
creators_name: Zoppoli, Riccardo
creators_id: giorgio.gnecco@imtlucca.it
creators_id: 
creators_id: 
title: Exploiting Structural Results in Approximate Dynamic Programming
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
pres_type: paper
note: 22nd European Conference on operational research
abstract: Efforts to cope with the curse of dimensionality in Dynamic Programming (DP) follow two main directions: i) problem simplification by simpler models and ii) use of smart approximators for the cost-to-go and/or policy functions. Here we focus on ii). We consider: a) structural properties of the cost-to-go and/or policy functions (to restrict approximation to certain function classes and to chose the approximators); b) suitable norms of the approximation error (to estimate how it propagates through stages). These ingredients can be combined to develop efficient approximate
DP algorithms.
date: 2007
date_type: completed
pagerange: 159
event_title: EURO XXII
event_location: Prague, Czech Republic
event_dates: 8-11 July 2007
event_type: conference
refereed: TRUE
related_url_url: http://euro2007.vse.cz/
related_url_type: org
citation:   Gnecco, Giorgio and Sanguineti, Marcello and Zoppoli, Riccardo  Exploiting Structural Results in Approximate Dynamic Programming.  In: EURO XXII, 8-11 July 2007, Prague, Czech Republic p. 159.        (2007)