Reusable Reinforcement Learning for Modular Self Motivated Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218087" target="_blank" >RIV/68407700:21230/14:00218087 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.7148/2014-0352" target="_blank" >http://dx.doi.org/10.7148/2014-0352</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7148/2014-0352" target="_blank" >10.7148/2014-0352</a>
Alternative languages
Result language
angličtina
Original language name
Reusable Reinforcement Learning for Modular Self Motivated Agents
Original language 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 modularityof 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 28th European Conference on Modeling and Simulation
ISBN
978-0-9564944-8-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
352-358
Publisher name
European Council for Modelling and Simulation
Place of publication
Brusel
Event location
Brescia
Event date
May 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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