Naslov
Reinforcement Learning as Adaptive Network Routing of Mobile Agents

Autori
Oužecki, Denis ; Jevtić, Dragan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings Vol. II. CTI, Telecommunications & Informations / Golubić, Stjepan ; Mikac, Branko ; Hudek, Vlasta - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010, 243-248

ISBN
978-953-233-052-6

Skup
33rd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2010

Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
network routing; Q-learning; self-adaptation

Sažetak
In large distributed systems, like ad-hoc networks, centralized learning of routing or movement policies may be impractical. We need to employ learning algorithms that can learn independently, without the need for extensive coordination. A search for alternative methods of routing packets has resulted in reinforcement learning (RL) as a good approach to adaptive routing. RL methods are able to learn and adapt to a unknown and changing environment.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA