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~person:"Prieto-Rumeau, Tomás"
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Search: subject:"Continuous Time"
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Overtaking optimality
4
Continuous-time zero-sum Markov games
3
Average reward criteria
2
Average reward optimality
2
Average variance
2
Bias optimality
2
Blackwell optimality
2
Continuous-time controlled Markov chains
2
Continuous-time controlled Markov chains (also known as Markov decision processes)
2
Laurent series
2
Markov decision processes
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Sensitive discount criteria
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Approximation of game models
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Discounted payoff criterion
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Discounting
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Diskontierung
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Game theory
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Markov chain
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Markov-Kette
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Nichtkooperatives Spiel
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Prieto-Rumeau, Tomás
Guo, Xianping
7
Cui, Zhenyu
6
Hernández-Lerma, Onésimo
6
Scalas, Enrico
6
Zhang, Yi
5
Benth, Fred Espen
4
Oprea, Ryan
4
Park, Joon Y.
4
Ban, Xuegang
3
Benndorf, Volker
3
Bonatti, Alessandro
3
Chambers, Marcus J.
3
Cisternas, Gonzalo
3
Fabra, Natalia
3
Federici, Daniela
3
Friedman, Daniel
3
Gandolfo, Giancarlo
3
García, Alfredo
3
Kolb, Aaron M.
3
Kristensen, Dennis
3
Kutner, Ryszard
3
Ma, Rui
3
Maggi, Bernardo
3
Martínez Martínez, Ismael
3
Meerschaert, Mark M.
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Posch, Olaf
3
Steinrücke, Martin
3
Trimborn, Timo
3
Wen, Ching-Feng
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Ye, Liuer
3
Yu, Jun
3
Özyurt, Selçuk
3
Abbad, Mohammed
2
Albrecht, Wolfgang
2
Altman, Eitan
2
Arbia, Giuseppe
2
Azouzi, Rachid El
2
Baeumer, B.
2
Bimpikis, Kostas
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Computational Statistics
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Mathematical Methods of Operations Research
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Top : an official journal of the Spanish Society of Statistics and Operations Research
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Approximation of zero-sum continuos-time Markov games under the discounted payoff criterion
Prieto-Rumeau, Tomás
;
Montero, José-María
- In:
Top : an official journal of the Spanish Society of …
23
(
2015
)
3
,
pp. 799-836
Persistent link: https://www.econbiz.de/10011554688
Saved in:
2
Variance minimization and the overtaking optimality approach to
continuous-time
controlled Markov chains
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Computational Statistics
70
(
2009
)
3
,
pp. 527-540
This paper deals with denumerable-state
continuous-time
controlled Markov chains with possibly unbounded transition and …
Persistent link: https://www.econbiz.de/10010759505
Saved in:
3
Variance minimization and the overtaking optimality approach to
continuous-time
controlled Markov chains
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Mathematical Methods of Operations Research
70
(
2009
)
3
,
pp. 527-540
This paper deals with denumerable-state
continuous-time
controlled Markov chains with possibly unbounded transition and …
Persistent link: https://www.econbiz.de/10010999914
Saved in:
4
Bias and overtaking equilibria for zero-sum
continuous-time
Markov games
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Computational Statistics
61
(
2005
)
3
,
pp. 437-454
This paper deals with
continuous-time
zero-sum two-person Markov games with denumerable state space, general (Borel …
Persistent link: https://www.econbiz.de/10010847694
Saved in:
5
The Laurent series, sensitive discount and Blackwell optimality for
continuous-time
controlled Markov chains
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Computational Statistics
61
(
2005
)
1
,
pp. 123-145
This paper gives conditions for the convergence of the Laurent series expansion for a class of
continuous-time
…
Persistent link: https://www.econbiz.de/10010847972
Saved in:
6
Bias and overtaking equilibria for zero-sum
continuous-time
Markov games
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Mathematical Methods of Operations Research
61
(
2005
)
3
,
pp. 437-454
This paper deals with
continuous-time
zero-sum two-person Markov games with denumerable state space, general (Borel …
Persistent link: https://www.econbiz.de/10010999720
Saved in:
7
The Laurent series, sensitive discount and Blackwell optimality for
continuous-time
controlled Markov chains
Prieto-Rumeau, Tomás
;
Hernández-Lerma, Onésimo
- In:
Mathematical Methods of Operations Research
61
(
2005
)
1
,
pp. 123-145
This paper gives conditions for the convergence of the Laurent series expansion for a class of
continuous-time
…
Persistent link: https://www.econbiz.de/10010999972
Saved in:
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