Simulation-Based Optimization Algorithms for Finite-Horizon Markov Decision Processes

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Simulation-Based Optimization Algorithms for Finite-Horizon Markov Decision Processes

We develop four simulation-based algorithms for finite-horizon Markov decision processes. Two of these algorithms are developed for finite state and compact action spaces while the other two are for finite state and finite action spaces. Of the former two, one algorithm uses a linear parameterization for the policy, resulting in reduced memory complexity. Convergence analysis is briefly sketche...

متن کامل

Simulation-Based Algorithms for Markov Decision Processes

Title of Dissertation: Simulation-Based Algorithms for Markov Decision Processes Ying He, Doctor of Philosophy, 2002 Dissertation directed by: Professor Steven I. Marcus Department of Electrical & Computer Engineering Professor Michael C. Fu Department of Decision & Information Technologies Problems of sequential decision making under uncertainty are common in manufacturing, computer and commun...

متن کامل

Finite-horizon variance penalised Markov decision processes

We consider a finite horizon Markov decision process with only terminal rewards. We describe a finite algorithm for computing a Markov deterministic policy which maximises the variance penalised reward and we outline a vertex elimination algorithm which can reduce the computation involved.

متن کامل

Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes

Solving finite-horizon Markov Decision Processes with stationary policies is a computationally difficult problem. Our dynamic dual decomposition approach uses Lagrange duality to decouple this hard problem into a sequence of tractable sub-problems. The resulting procedure is a straightforward modification of standard non-stationary Markov Decision Process solvers and gives an upper-bound on the...

متن کامل

Simulation-Based Algorithms for Average Cost Markov Decision Processes

In this paper, we give a summary of recent development of simulation-based algorithms for average cost MDP problems, which are different from those for discounted cost problems or shortest path problems. We introduce both simulation-based policy iteration algorithms and simulation-based value iteration algorithms for average cost problem, and give the pros and cons of each algorithm.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: SIMULATION

سال: 2008

ISSN: 0037-5497,1741-3133

DOI: 10.1177/0037549708098120