A Note on Memoryless Rules for Controlling Sequential Control Processes
From MaRDI portal
Publication:5512596
DOI10.1214/aoms/1177699618zbMath0138.13604OpenAlexW1974777468MaRDI QIDQ5512596
Publication date: 1966
Published in: The Annals of Mathematical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aoms/1177699618
Related Items
Kolmogorov's Equations for Jump Markov Processes and Their Applications to Control Problems ⋮ On undiscounted semi-Markov decision processes with absorbing states ⋮ The existence of good Markov strategies for decision processes with general payoffs ⋮ Controlled Markov processes on the infinite planning horizon: Weighted and overtaking cost criteria ⋮ Connectedness conditions used in finite state Markov decision processes ⋮ Sufficiency of Markov Policies for Continuous-Time Jump Markov Decision Processes ⋮ Survey of linear programming for standard and nonstandard Markovian control problems. Part I: Theory ⋮ On the life and work of Cyrus Derman ⋮ Denumerable state semi-Markov decision processes with unbounded costs, average cost criterion ⋮ Successive approximations for average reward Markov games ⋮ On theory and algorithms for Markov decision problems with the total reward criterion ⋮ Semi-Infinite Weighted Markov Decision Processes ⋮ Unnamed Item ⋮ Linear Programming and Zero-Sum Two-Person Undiscounted Semi-Markov Games ⋮ Semi-Markov strategies in stochastic games ⋮ Weighted discounted Markov decision processes with perturbation ⋮ Mean, variance and probabilistic criteria in finite Markov decision processes: A review ⋮ Constrained Markov Decision Processes with Expected Total Reward Criteria ⋮ Multiple discrete semigroups of operations ⋮ Multiple discrete semigroups of operations ⋮ A counterexample in discounted dynamic programming ⋮ Multiple objective nonatomic Markov decision processes with total reward criteria ⋮ On asymptotic optimization of a class of nonlinear stochastic hybrid systems ⋮ Finite state Markov decision models with average reward criteria
