Reference : Generating informative trajectories by using bounds on the return of control policies

	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/36015

Title :	Generating informative trajectories by using bounds on the return of control policies
Language :	English
Author, co-author :	Fonteneau, Raphaël [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
	Murphy, Susan [ > > ]
	Wehenkel, Louis [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
	Ernst, Damien [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	May-2010
Main document title :	Proceedings of the Workshop on Active Learning and Experimental Design 2010 (in conjunction with AISTATS 2010)
On invitation :	No
Audience :	International
Event name :	Workshop on Active Learning and Experimental Design 2010 (in conjunction with AISTATS 2010)
Event date :	May 16, 2010
Event place (city) :	Chia Laguna, Sardinia
Event country :	Italy
Keywords :	[en] reinforcement learning ; optimal control ; sampling strategies
Abstract :	[en] We propose new methods for guiding the generation of informative trajectories when solving discrete-time optimal control problems. These methods exploit recently published results that provide ways for computing bounds on the return of control policies from a set of trajectories.
Funders :	Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/2268/36015

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access Fonteneau2010ALED.pdf Publisher postprint 130.65 kB View/Open Additional material(s): File Commentary Version Size Access Open access NIPS-2010-talk.pdf This paper together with the three papers "Model-free Monte Carlo-like policy evaluation", "Inferring bounds on the performance of a control policy from a sample of trajectories" and "A cautious approach to generalization in reinforcement learning" represent a body of work in batch-mode RL which is based on the rebuilding of trajectories. This file is a presentation of this body of work. - 463.17 kB View/Open

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