01267cam2 22003011 450 SOBE0003522920211215081515.020130710d1948 |||||ita|0103 baitaIT2PlotinoBariLaterza1948588 p.22 cm001SOBE000352252001 Enneadi / Plotino ; prima versione critica e commentario critico di Vincenzo CilentoPlotinusA600200026383070198801ITUNISOB20211215RICAUNISOBUNISOB1|D10630|ortUNISOB100|Coll|20|K3015UNISOBFondo|Cosenza161464SOBE00035229M 102 Monografia moderna SBNWFondo|Ortolani1|D8-7.2modalità di consultazione sulla home page della Biblioteca link FondiCON10630|ortOrtolaniSdonocalvano123UNISOBUNISOB20130710090041.020130710090219.0calvano123100|Coll|20|K000011-2SI3015catenacciUNISOBUNISOB20130710114324.020211215081515.0AlfanoFondo|Cosenza000943-2SI161464CosenzadonoAmenleUNISOBUNISOB20140127111630.020140127111718.0menle21713331UNISOB01490nam 2200397 450 991071375820332120200730153553.0(CKB)5470000002504101(OCoLC)1179160559(EXLCZ)99547000000250410120200730d2019 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierQuasi-stochastic approximation and off-policy reinforcement learning preprint /Andrey Bernstein [and five others]Golden, CO :National Renewable Energy Laboratory,2019.1 online resource (8 pages) color illustrationsNREL/CP ;5D00-73518"Presented at the 2019 IEEE Conference on Decision and Control (IEEE CDC), Nice, France, December 11-13, 2019.""December 2019."Includes bibliographical references (page 8).Quasi-stochastic approximation and off-policy reinforcement learning Reinforcement learningStochastic approximationReinforcement learning.Stochastic approximation.Bernstein Andrey1401176National Renewable Energy Laboratory (U.S.),GPOGPOBOOK9910713758203321Quasi-stochastic approximation and off-policy reinforcement learning3469533UNINA