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Risk-Sensitive Ergodic Control of Continuous Time Markov Processes With Denumerable State Space

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TLDR
In this article, the authors prove the existence and a characterization of optimal risk-sensitive control under geometric ergodicity of the state dynamics along with a smallness condition on the running cost.
Abstract
In this article, we study risk-sensitive control problem with controlled continuous time Markov chain state dynamics. Using multiplicative dynamic programming principle along with the atomic structure of the state dynamics, we prove the existence and a characterization of optimal risk-sensitive control under geometric ergodicity of the state dynamics along with a smallness condition on the running cost.

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Citations
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Journal ArticleDOI

Infinite horizon risk-sensitive control of diffusions without any blanket stability assumptions

TL;DR: In this article, the authors considered the infinite horizon risk-sensitive problem for nondegenerate diffusions with a compact action space, and controlled through the drift, and showed that there always exists a solution to the risk sensitive Hamilton-Jacobi-Bellman (HJB) equation.
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Risk-Sensitive Discounted Continuous-Time Markov Decision Processes with Unbounded Rates

TL;DR: This paper attempts to study the risk-sensitive discounted continuous-time Markov decision processes with unbounded transition and cost rates with an emphasis on bounded transition/cost rates.
Journal ArticleDOI

Risk-sensitive continuous-time Markov decision processes with unbounded rates and Borel spaces

TL;DR: This paper considers the finite-horizon risk-sensitive optimality for continuous-time Markov decision processes, and focuses on the more general case that the transition rates are unbounded, cost/reward rates are allowed to be unbounded from below and from above.
Journal ArticleDOI

Zero-sum risk-sensitive stochastic games for continuous time Markov chains

TL;DR: In this paper, the authors studied infinite horizon discounted-cost and ergodic-cost risk-sensitive zero-sum stochastic games for controlled continuous time Markov chains on a countable state space.
Journal ArticleDOI

Risk sensitive control of pure jump processes on a general state space

TL;DR: In this paper, a stochastic control problem for pure jump processes on a general state space with risk sensitive discounted and ergodic cost criteria was studied, and the authors proved the existence of the discounted cost criterion.
References
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Journal ArticleDOI

Spectral theory and limit theorems for geometrically ergodic Markov processes

TL;DR: In this paper, it was shown that for all complex α in a neighborhood of the origin, the normalized mean of exp(αSt ) (and not the logarithm of the mean) converges to ˇ f exponentially fast, where f is a solution of the multiplicative Poisson equation.
Posted Content

Spectral Theory and Limit Theorems for Geometrically Ergodic Markov Processes

TL;DR: In this paper, the authors considered the problem of finding a well-behaved solution for the multiplicative Poisson equation in a Markov chain with respect to a real-valued functional.
Journal ArticleDOI

Existence of Optimal Strategies Based on Specified Information, for a Class of Stochastic Decision Problems

TL;DR: In this article, the existence of admissible strategies for minimizing a continuous stochastic process with moment conditions on x, growth conditions on c, and continuity of c in its third variable (the control) was studied.
Book

Ergodic Control of Diffusion Processes

TL;DR: In this paper, the existence and characterization of optimal controls for ergodic control of non-degenerate diffusion processes are described and some related problems and open issues are discussed.
Journal ArticleDOI

Large Deviations Asymptotics and the Spectral Theory of Multiplicatively Regular Markov Processes

TL;DR: In this paper, a new family of nonlinear Lyapunov drift criteria was introduced to characterize distinct subclasses of geometrically ergodic Markov processes in terms of simple inequalities for the nonlinear generator.
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