The variational calculus and approximation in policy space for Markovian decision processes
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Publication:1068009
DOI10.1016/0022-247X(85)90197-0zbMath0579.90097MaRDI QIDQ1068009
Publication date: 1985
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Numerical optimization and variational techniques (65K10) Markov and semi-Markov decision processes (90C40)
Cites Work
- The Functional Equations of Undiscounted Markov Renewal Programming
- On the Convergence of Policy Iteration in Stationary Dynamic Programming
- Markov-Renewal Programming. I: Formulation, Finite Return Models
- On Finding Optimal Policies in Discrete Dynamic Programming with No Discounting
- Perturbation Theory and Undiscounted Markov Renewal Programming
- Algorithms for Stochastic Games with Geometrical Interpretation
- Discrete Dynamic Programming with Sensitive Discount Optimality Criteria
- Perturbation theory and finite Markov chains
- Markov Renewal Programs with Small Interest Rates
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