00641nam0-22002531i-450-990001257640403321000125764FED01000125764(Aleph)000125764FED0100012576420000920d1968----km-y0itay50------baengBoolean systemby KayeLondon [etc.]Green & C.1968math. topicsKaye,Douglas57761ITUNINARICAUNIMARCBK990001257640403321107-F-1816193MA1MA1Boolean system380774UNINAING0101079nam--2200337---450-9900003664702033160036647USA010036647(ALEPH)000036647USA01003664720010320d1854----km-y0itay0103----baitaIT||||||||001yyElementi del diritto criminaledell'avvocato Giovanni Carmignani...prima versione italiana del professor Caruana Dingli2. edizione napolitana sull'ultima di MaltaNapoliDallo Stabilimento Tipografico di P.Androsio1854XIV, 384 p.23 cm340.54CARMIGNANI,Giovanni224494990000366470203316F.V./IG XVII B 80F.V./IG XVII BBKGIUANTICOTAMI4020010320USA011253TAMI4020010320USA01125520020403USA011644PATRY9020040406USA011625Elementi del diritto criminale250613UNISA00864nam0 22002291i 450 UON0021057220231205103333.21297-397-9152-220030730d1997 |0itac50 barumRO|||| |||||Biblioteca de poezie româneascaComentarii si antologieMarin SorescuBucarestiCreuzet1997.Fatt. n. 977/98.IT-UONSI ROMENOASORESCUMarinUONV126746445994ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00210572SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI ROMENO A SI EO 29569 5 Fatt. n. 977/98.Biblioteca de poezie româneasca1261716UNIOR02759nam 2200637 a 450 991101914340332120200520144314.01-299-18985-71-118-45393-X10.1002/9781118453988(CKB)2670000000327913(EBL)947728(SSID)ssj0000826853(PQKBManifestationID)11434333(PQKBTitleCode)TC0000826853(PQKBWorkID)10808932(PQKB)11010193(MiAaPQ)EBC947728(CaBNVSL)mat06462203(IDAMS)0b00006481cd5eff(IEEE)6462203(OCoLC)798809964(PPN)257508333(EXLCZ)99267000000032791320120706d2013 uy 0engur|n|---|||||txtccrReinforcement learning and approximate dynamic programming for feedback control /edited by Frank L. Lewis, Derong LiuHoboken, N.J. IEEE/John Wiley and Sons, Inc.20131 online resource (643 p.)IEEE Press series on computational intelligenceDescription based upon print version of record.1-118-45398-0 1-118-10420-X Includes bibliographical references and index.pt. 1. Feedback control using RL and ADP -- pt. 2. Learning and control in multiagent games -- pt. 3. Foundations in MDP and RL."Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making"--Provided by publisher.IEEE series on computational intelligence.Reinforcement learningFeedback control systemsReinforcement learning.Feedback control systems.003/.5TEC008000bisacshLewis Frank L30830Liu Derong1963-66913MiAaPQMiAaPQMiAaPQBOOK9911019143403321Reinforcement learning and approximate dynamic programming for feedback control4420481UNINA