000003392 001__ 3392
000003392 005__ 20141118153401.0
000003392 04107 $$acze
000003392 046__ $$k2005-05-09
000003392 100__ $$aVěchet, S.
000003392 24500 $$aNonstationary system control using Q-learning

000003392 24630 $$n11.$$pENGINEERING MECHANICS 2005
000003392 260__ $$bInstitute of Thermomechanics AS CR, v.v.i., Brno
000003392 506__ $$arestricted
000003392 520__ $$2eng$$aQ-learning is the most popular and effective version of Reinforcement Learning algorithms. In this paper we discuss the possibility of control of a nonstationary system by Q-learning. The non-stationary system is represented by simple inverted pendulum simulation model with variable pendulum length.

000003392 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000003392 653__ $$a

000003392 7112_ $$aENGINEERING MECHANICS 2005$$cSvratka (CZ)$$d2005-05-09 / 2005-05-12$$gEM2005
000003392 720__ $$aVěchet, S.$$iKrejsa, J.
000003392 8560_ $$ffischerc@itam.cas.cz
000003392 8564_ $$s222876$$uhttps://invenio.itam.cas.cz/record/3392/files/Vechet1-PT.pdf$$y
             Original version of the author's contribution as presented on CD, .
            
000003392 962__ $$r3238
000003392 980__ $$aPAPER