Markov chains and their control, general theory, constrained MDPs
This area of research goes back to my Ph.D. thesis
(under the guidance of Prof. Adam Shwartz),
and I have always remained faithful to it. My main interest
is in constrained Markov decision processes, for which
the standard dynamic programming techniques are not applicable;
the computation of optimal policies requires
linear programming or Lagrange techniques. I have
been working on different aspects, such as
adaptive control, sensitivity analysis, finite-state approximations.
Monographs:
E. Altman
,
Constrained Markov Decision Processes,
Chapman and Hall/CRC , 1999.
For the postscript version of the contents,
introduction, references and index, click
here.
To get an ascii version of the contents
click here.
Papers:
E. Altman and A. Shwartz
,
Markov decision problems and state-action frequencies
,
SIAM J. Control and Optimization
,
Vol. 29, No. 4, pp. 786-809, 1991.
E. Altman and A. Shwartz
,
Adaptive Control of constrained Markov chains
,
IEEE Trans. Auto. Control
,
Vol.
36 No. 4, pp. 454-462, 1991.
E. Altman and A. Shwartz
,
Adaptive Control of constrained Markov chains:
Criteria and Policies:w,
Annals of Operations Research
,
Vol.
28, special issue on ``Markov Decision Processes",
Eds. O. Hernandez-Lerma and J. B. Lasserre,
pp. 101-134, 1991.
E. Altman and A. Shwartz
,
Sensitivity of constrained Markov Decision Problems
,
Annals of Operations Research
,
Vol. 32, pp. 1-22, 1991.
E. Altman and A. Shwartz
,
Time-sharing policies for controlled
Markov chains
,
Operations Research
,
Vol.
41, No. 6, pp. 1116-1124, 1993.
E. Altman and V. A. Gaitsgory
,
Stability and Singular Perturbations in Constrained
Markov Decision Problems
,
IEEE Trans. Auto. Control
,
Vol.
38, No. 6, pp. 971-975, 1993.
E. Altman
,
Asymptotic Properties of Constrained Markov Decision Processes
,
ZOR - Methods and Models in Operations Research
,
Vol.
37, Issue 2, pp. 151-170, 1993.
E. Altman
,
Denumerable Constrained Markov Decision Problems
and Finite Approximations
,
Math. of Operations Research
,
Vol.
19, No. 1, pp. 169-191, 1994.
E. Altman and O. Zeitouni
,
Rate of convergence of empirical measures
and costs in controlled Markov chains and
transient optimality
,
Math. of Operations Research
,
Vol.
19, No. 4, pp. 955-974, 1994.
M. Tidball and A. Altman
,
Continuity of optimal values and solutions
of convex optimization, and constrained
control of Markov chains
, submitted to
SIAM
,
1994.
E. Altman and F. Spieksma
,
The Linear Program approach in Markov Decision Problems revisited
[ps,
pdf ]
ZOR - Methods and Models in Operations Research
,
Vol.
42, Issue 2, pp. 169-188, 1995.
E. Altman
,
Constrained Markov decision processes with total cost
criteria: occupation measures and primal LP
,
ZOR - Methods and Models in Operations Research
,
Vol.
43, Issue 1, 1996.
E. Altman
,
Constrained Markov decision processes with total cost
criteria: Lagrange approach and dual LP
,
ZOR - Methods and Models in Operations Research,
Vol. 48, pp. 387-417, 1998.
E. Altman and
G. Koole
,
On submodular value functions and complex dynamic programming
,
INRIA report No. 2658, 1995. Final version in
Stochastic Models,
pp. 1051-1072, 1998.
E. Altman, A. Hordijk and L. C. M. Kallenberg
,
On the value in constrained control of Markov chains
,
ZOR,
Vol. 44, Issue 3, pp. 387-400, 1996.
E. Altman, K. E. Avrachenkov and J. A. Filar
,
Asymptotic linear programming and policy improvement
for singularly perturbed Markov decision processes
,
ZOR - Methods and Models in Operations Research,
,
Vol. 49, pp. 97-110, 1999.
J. Filar, E. Altman, K. E. Avrachenkov
,
An asymptotic simplex method for singularly perturbed linear programs,
,
Operations Research Letters
,
v.30, no.5, pp.295-307, October 2002.
M. Tidball, A. Lombardi, O. Pourtallier and E. Altman,
,
Continuity of optimal values and solutions for
control of Markov chains with constraints
,
SIAM J. Control and Optimization
,
Vol. 38, No. 4, pp. 1204-1222, 2000.
E. Altman, K. E. Avrachenkov, R. Nunez-Queija,
Perturbation analysis for denumerable Markov
chains with application to queueing models,
Advances in Applied Probability, Vol 36, Number 3,
pp. 839-853, 2004.
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Web page
.