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Approximate linear programming (ALP) and its variants have been widely applied to Markov Decision Processes (MDPs) with a large number of states.
“Generalized polynomial approximations in Markovian decision processes”
P.. Schweitzer and A. Seidmann · 1985
Earlier work this paper cites.
“A Survey of Applications of Markov Decision Processes”
D.. White · 1993
Earlier work this paper cites.
“Markov Decision Processes: Discrete Stochastic Programming”
M.. Puterman · 1994
Earlier work this paper cites.
“Numerical Dynamic Programming in Economics”
J. Rust · 1996
Earlier work this paper cites.
“Using randomization to break the curse of dimensionality”
J. Rust · 1996
Earlier work this paper cites.
“Value iteration and optimization of multiclass queueing networks”
R-R. Chen and S.. Meyn · 1999
Earlier work this paper cites.
“A survey of computational complexity results in systems and control”
Vincent Blondel and John Tsitsiklis · 2000
Earlier work this paper cites.
“Direct value-approximation for factored MDPs”
Dale Schuurmans and Relu Patrascu · 2001
Earlier work this paper cites.
“Efficient Approximate Planning in Continuous Space Markovian Decision Problems”
. Szepesv“’ari · 2001
Earlier work this paper cites.
“Handbook of Markov decision processes: methods and applications”
Eugene. Feinberg and Adam Shwartz · 2002
Earlier work this paper cites.
“A sparse sampling algorithm for near-optimal planning in large Markov decision processes”
Michael Kearns, Yishay Mansour and Andrew Ng · 2002
Cited alongside, same era.
“The Linear Programming Approach to Approximate Dynamic Programming”
D.. de Farias and B. Van Roy · 2003
Cited alongside, same era.
“Efficient solution algorithms for factored MDPs”
C. Guestrin, D. Koller, R. Parr and S. Venkataraman · 2003
Cited alongside, same era.
“On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming”
D.. de Farias and B. Van Roy · 2004
Cited alongside, same era.
“Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes”
Branislav Kveton and Milos Hauskrecht · 2004
Cited alongside, same era.
“Markov Decision Processes with Their Applications”
“Markov Decision Processes with Applications to Finance”
Nicole B“”auerle and Ulrich Rieder · 2011
Later among the works it cites.
“Non-Parametric Approximate Linear Programming for MDPs”
J. Pazis and R. Parr · 2011
Later among the works it cites.
“Non-parametric Approximate Dynamic Programming via the Kernel Method”
Nikhil Bhat, Vivek Farias and Ciamac. Moallemi · 2012
Later among the works it cites.
“Planning with Markov decision processes: An AI perspective”
A. Kolobov and Mausam · 2012
Later among the works it cites.
Wiley-IEEE Press, 2012
“Reinforcement Learning and Approximate Dynamic Programming for Feedback Control” · 2012
Later among the works it cites.
“Linear programming for large-scale Markov decision problems”
Y. Abbasi-Yadkori, P. Bartlett and A. Malek · 2014
Later among the works it cites.
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Qiying Hu and Wuyi Yue · 2007
Cited alongside, same era.
“A Smoothed Approximate Linear Program”
V.. Desai, V.. Farias and C.. Moallemi · 2009
Cited alongside, same era.
“Constraint relaxation in approximate linear programs”
M. Petrik and S. Zilberstein · 2009
Cited alongside, same era.
In Markov Decision Processes in Artificial Intelligence
“Markov Decision Processes in Artificial Intelligence” · 2010
Cited alongside, same era.
“Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes”
G. Taylor, M. Petrik, R. Parr and S. Zilberstein · 2010
Cited alongside, same era.
“Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey”
Mohammad Abu et al · 2015
Later among the works it cites.
“A Generalized Reduced Linear Program for Markov Decision Processes”
C. Lakshminarayanan and S. Bhatnagar · 2015
Later among the works it cites.
In Markov Decision Processes in Practice 248
“Markov Decision Processes in Practice” · 2017
Closest in time.
“Markov decision processes: Lecture Notes”, 2017
Lodewijk Kallenberg · 2017
Closest in time.