About: Reusable Reinforcement Learning for Modular Self Motivated Agents

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned. Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned. (en)
Title	Reusable Reinforcement Learning for Modular Self Motivated Agents Reusable Reinforcement Learning for Modular Self Motivated Agents (en)
skos:prefLabel	Reusable Reinforcement Learning for Modular Self Motivated Agents Reusable Reinforcement Learning for Modular Self Motivated Agents (en)
skos:notation	RIV/68407700:21230/14:00218087!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Nahodil, Pavel Vítků, Jaroslav
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	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	42581
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00218087
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Agent; Architecure; Artifical Life; Creature; Behaviour; Hybrid; Neural Networks; Evolution (en)
http://linked.open.../riv/klicoveSlovo	Behaviour Creature Architecure - sport - Vysoké Mýto - Josef Podhájský Evolution Agent Artifical Life Hybrid Neural Networks
http://linked.open...ontrolniKodProRIV	[C732774C618A]
http://linked.open...v/mistoKonaniAkce	Brescia
http://linked.open...i/riv/mistoVydani	Brusel
http://linked.open...i/riv/nazevZdroje	Proceedings of 28th European Conference on Modeling and Simulation
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Nahodil, Pavel Vítků, Jaroslav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-05-27 (xsd:date)
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.7148/2014-0352
http://purl.org/ne...btex#hasPublisher	European Council for Modelling and Simulation
https://schema.org/isbn	978-0-9564944-8-1
http://localhost/t...ganizacniJednotka	21230

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