Partially observable Markov decision processes with partially observable random discount factors
From MaRDI portal
Publication:5878542
DOI10.14736/kyb-2022-6-0960OpenAlexW4319723641MaRDI QIDQ5878542
J. Adolfo Minjárez-Sosa, E. Everardo Martinez-Garcia, Óscar Vega-Amaya
Publication date: 21 February 2023
Published in: Kybernetika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.14736/kyb-2022-6-0960
optimal policiesdiscounted criterionqueueing modelspartially observable systemsrandom discount factors
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Markov control models with unknown random state-action-dependent discount factors
- Markov decision processes with exponentially representable discounting
- Discounted cost optimality problem: Stability with respect to weak metrics
- Robustness inequality for Markov control processes with unbounded costs
- Stochastic optimal control. The discrete time case
- Optimal control of discrete time stochastic systems
- Measurable selection theorems for optimization problems
- Adaptive policies for time-varying stochastic systems under discounted criterion
- Adaptive Markov control processes
- Discrete-time control with non-constant discount factor
- Constrained Markov control processes with randomized discounted cost criteria: infinite linear programming approach
- Constrained dynamic programming with two discount factors: applications and an algorithm
- Partially observable queueing systems with controlled service rates under a discounted optimality criterion
- Partially Observed Inventory Systems: The Case of Zero‐Balance Walk
This page was built for publication: Partially observable Markov decision processes with partially observable random discount factors
