Adopting Animal Concepts in Hierarchical Reinforcement Learning and Control of Intelligent Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A00153780" target="_blank" >RIV/68407700:21230/08:00153780 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adopting Animal Concepts in Hierarchical Reinforcement Learning and Control of Intelligent Agents
Original language description
Presented research integrates rigorous methods of reinforcement learning (RL) and control engineering with a behavioral (ethology) approach to the agent technology. The main outcome is a hybrid architecture for intelligent autonomous agents targeted to the Artificial Life like environments. The architecture adopts several biology concepts and shows that they can provide robust solutions to some areas.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2008
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 the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics
ISBN
978-1-4244-2882-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Omipress
Place of publication
Wisconsin
Event location
Scottsdale
Event date
Oct 19, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000270540400106