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MARKOV CHAIN DESIGN PROBLEMSEVANS RV.1981; OPER. RES.; ISSN 0030-364X; USA; DA. 1981; VOL. 29; NO 5; PP. 959-971; BIBL. 5 REF.Article

OPTIMAL CONTROL OF A BIRTH AND DEATH EPIDEMIC PROCESSLEFEVRE C.1981; OPER. RES.; ISSN 0030-364X; USA; DA. 1981; VOL. 29; NO 5; PP. 971-982; BIBL. 16 REF.Article

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NORMALIZED MARKOV DECISION CHAINS. I. SENSITIVE DISCOUNT OPTIMALITY.ROTHBLUM UG.1975; OPER. RES.; U.S.A.; DA. 1975; VOL. 23; NO 4; PP. 785-795; BIBL. 6 REF.Article

AVERAGING VS. DISCOUNTING IN DYNAMIC PROGRAMMING: A COUNTEREXAMPLE.FLYNN J.1974; ANN. STATIST.; U.S.A.; DA. 1974; VOL. 2; NO 2; PP. 411-413; BIBL. 7 REF.Article

MARKOVIAN DECISION PROCESSES WITH PROBABILISTIC OBSERVATION OF STATES.SATIA JK; LAVE RE.1973; MANAG. SCI.; U.S.A.; DA. 1973; VOL. 20; NO 1; PP. 1-13; BIBL. 18 REF.Article

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DYNAMIC DECISION THEORY AND TECHNIQUESOSGOOD WR; LEONDES CT.1973; CONTROL DYNAM. SYST.; U.S.A.; DA. 1973; VOL. 9; PP. 309-374; BIBL. 1 P.Serial Issue

ON EFFICIENCY OF INFERENCES OF TRANSITION PROBABILITIES TO MARKOVIAN DECISION PROCESSES.KOBAYASHI Y; FUJIKAWA H; KURANO M et al.1973; BULL. MATH. STATIST.; JAP.; DA. 1973; VOL. 15; NO 3-4; PP. 113-122; BIBL. 4 REF.Article

SEGMENTATION OPTIMALE DES COURBES EXPERIMENTALESMOTTL VV; MUCHNIK IB; YAKOVLEV VG et al.1983; AVTOMATIKA I TELEMEHANIKA; ISSN 0005-2310; SUN; DA. 1983; NO 8; PP. 84-95; ABS. ENG; BIBL. 7 REF.Article

NON-TERMINATING STOCHASTIC RATIO GAMEAGGARWAL V; NAIR KPK; CHANDRASEKARAN R et al.1980; R.A.I.R.O., RECH. OPERAT.; FRA; DA. 1980; VOL. 14; NO 1; PP. 21-30; ABS. FRE; BIBL. 5 REF.Article

DISCRETE VERSIONS OF AN ALGORITHM DUE TO VARAIYAPOPYACK JL; BROWN RL; WHITE CC III et al.1979; I.E.E.E. TRANS. AUTOMAT. CONTROL; USA; DA. 1979; VOL. 24; NO 3; PP. 503-504; BIBL. 8 REF.Article

BAYESIAN DYNAMIC PROGRAMMING.RIEDER U.1975; ADV. APPL. PROBAB.; G.B.; DA. 1975; VOL. 7; NO 2; PP. 330-348; BIBL. 21 REF.Article

MARKOV DECISION PROCESSES WITH STATE-INFORMATION LAGBROOKS DM; LEONDES CT.1972; OPER. RES.; U.S.A.; DA. 1972; VOL. 20; NO 4; PP. 904-907; BIBL. 1 REF.Serial Issue

DETERMINATION OF SUB-OPTIMAL DECISIONS FOR UNDISCOUNTED DISCRETE MARKOV DECISION PROCESSES.DATTA KK; DAS GUPTA S.sdIN: STOCHASTIC CONTROL SYMP. PREPR.; BUDAPEST; 1974; S.L.; DA. S.D.; PP. 207-254; BIBL. 5 REF.Conference Paper

DYNAMIC LOTTERIES AND THE COEFFICIENT OF RISK. HOW SENSITIVE IS RISK SENSITIVEGHEORGHE AV; SONDIK EJ.1981; APPLIED MODELLING AND SIMULATION. INTERNATIONAL CONFERENCE. 1/1980/LYON; FRA; TASSIN-LA-DEMI-LUNE: ASSOCIATION POUR LA PROMOTION DES TECHNIQUES DE MODELISATION ET DE SIMULATION DANS L'ENTREPRISE; DA. 1981; VOL. 1; PP. 180-181; BIBL. 2 REF.Conference Paper

ON RISK-SENSITIVE MARKOVIAN DECISION MODELS FOR COMPLEX SYSTEMES MAINTENANCE.GHEORGHE A.1976; ECON. COMPUT. ECON. CYBERN. STUD. RES.; ROMAN.; DA. 1976; NO 1; PP. 31-46; ABS. FR. RUSSE; BIBL. 23 REF.Article

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