A limit theorem for Markov decision processes
DOI10.3934/jdg.2014.1.639zbMath1344.60026OpenAlexW3122437729MaRDI QIDQ258747
Publication date: 10 March 2016
Published in: Journal of Dynamics and Games (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jdg.2014.1.639
Central limit and other weak theorems (60F05) Discrete-time Markov processes on general state spaces (60J05) Dynamic programming in optimal control and differential games (49L20) Dynamic programming (90C39) Optimal stochastic control (93E20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Markov and semi-Markov decision processes (90C40) Functional limit theorems; invariance principles (60F17) Viscosity solutions to Hamilton-Jacobi equations in optimal control and differential games (49L25)
Cites Work
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- Stochastic games with short-stage duration
- Stochastic stability in asymmetric binary choice coordination games
- A numerical approach to the infinite horizon problem of deterministic control theory
- Approximate solutions of the Bellman equation of deterministic control theory
- The convergence problem for differential games
- Stochastic optimal control. The discrete time case
- Weak convergence methods and singularly perturbed stochastic control and filtering problems
- Recursive Methods in Discounted Stochastic Games: An Algorithm forδ→ 1 and a Folk Theorem
- Repeated Games and Qualitative Differential Games: Approachability and Comparison of Strategies
- On Deterministic Control Problems: An Approximation Procedure for the Optimal Cost I. The Stationary Problem
- Existence of Stationary Correlated Equilibria with Symmetric Information for Discounted Stochastic Games
- Compactification methods in the control of degenerate diffusions: existence of an optimal control
- Mean Field for Markov Decision Processes: From Discrete to Continuous Optimization
- Games with Imperfectly Observable Actions in Continuous Time
- Nonzero-sum games for continuous-time Markov chains with unbounded discounted payoffs
- Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations
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