A Brouwer fixed-point mapping approach to communicating Markov decision processes
DOI10.1016/0022-247X(87)90297-6zbMath0663.90096OpenAlexW2060219734MaRDI QIDQ1115361
Publication date: 1987
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0022-247x(87)90297-6
solvabilityfunctional equationsfinite state spaceBrouwer fixed-point mapping theoremcommunicating Markov decision processesfinite or compact action spacessemi-Markovian decision processesundiscounted stationary infinite horizon
Fixed-point and coincidence theorems (topological aspects) (54H25) Markov and semi-Markov decision processes (90C40)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- On the solvability of Bellman's functional equations for Markov renewal programming
- On the existence of relative values for undiscounted Markovian decision processes with a scalar gain rate
- Contraction mappings underlying undiscounted Markov decision problems
- On the solvability of Bellman's functional equation for a Markovian decision process
- A Fixed Point Approach to Undiscounted Markov Renewal Programs
- On undiscounted markovian decision processes with compact action spaces
- The Functional Equations of Undiscounted Markov Renewal Programming
- Geometric convergence of value-iteration in multichain Markov decision problems
- The Asymptotic Behavior of Undiscounted Value Iteration in Markov Decision Problems
- Optimal decision procedures for finite Markov chains. Part II: Communicating systems
- Markov-Renewal Programming. I: Formulation, Finite Return Models
- Perturbation Theory and Undiscounted Markov Renewal Programming
- Multichain Markov Renewal Programs
This page was built for publication: A Brouwer fixed-point mapping approach to communicating Markov decision processes