About: Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered --- a radial basis function neural network trained by evolutionary algorithm, and a traditional reinforcement learning algorithm over a finite agent state space. A comparison of these two approaches is presented on the maze exploration problem. An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered --- a radial basis function neural network trained by evolutionary algorithm, and a traditional reinforcement learning algorithm over a finite agent state space. A comparison of these two approaches is presented on the maze exploration problem. (en) Studujeme vznik inteligentních vzorců chování u jednoduchého robotického agenta. Uvažujeme dva mechanismy řízení - síť radiálně bazických funkcí učenou evolučním algoritmem a tradiční algoritmus posilovaného učení na dkonečným stavovým prostorem. Tyto dva přístupy porovnáváme na problému explorace bludiště. (cs)
Title	Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem (en) Porovnání učení RBF sítí a posilovaného učení na problému explorace bludiště (cs)
skos:prefLabel	Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem (en) Porovnání učení RBF sítí a posilovaného učení na problému explorace bludiště (cs)
skos:notation	RIV/67985807:_____/08:00318622!RIV09-AV0-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA201/08/1744), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Neruda, Roman Vidnerová, Petra Slušný, Stanislav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	360649
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/08:00318622
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	reinforcement learning; evolutionary robotics; radial basis function networks (en)
http://linked.open.../riv/klicoveSlovo	reinforcement learning radial basis function networks evolutionary robotics
http://linked.open...ontrolniKodProRIV	[8DF7E78E2F45]
http://linked.open...v/mistoKonaniAkce	Prague
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Artificial Neural Networks - ICANN 2008
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Complexity of perceptron and kernel networks
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Neruda, Roman Vidnerová, Petra Slušný, Stanislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000259566200074
http://linked.open.../riv/zahajeniAkce	2008-09-03 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-540-87535-2
is http://linked.open...avai/riv/vysledek of	Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem

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