Finding Optimal Survey Policies via Adaptive Markov Decision Processes

DOI10.1080/02522667.1993.10699152zbMath0802.90114OpenAlexW2328324023MaRDI QIDQ4298544

Douglas J. White

Publication date: 2 August 1994

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.1993.10699152

zbMATH Keywords

adaptive Markov decision processesoptimal survey policies

Mathematics Subject Classification ID

Markov and semi-Markov decision processes (90C40)

Related Items (4)

An empirical study of policy convergence in Markov decision process value iteration ⋮ A multi-period TSP with stochastic regular and urgent demands ⋮ Piecewise affine approximations for the control of a one-reservoir hydroelectric system ⋮ On the undecidability of probabilistic planning and related stochastic optimization problems

Cites Work

• Utility, probabilistic constraints, mean and variance of discounted rewards in Markov decision processes
• Controlled Markov Processes with Arbitrary Numerical Criteria
• Non-Randomized Markov and Semi-Markov Strategies in Dynamic Programming
• Decision Problems with Expected Utility Critera, I: Upper and Lower Convergent Utility

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