Second order bounds for Markov Decision Processes

نویسندگان

چکیده

برای دانلود رایگان 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

Bounds for Markov Decision Processes

We consider the problem of producing lower bounds on the optimal cost-to-go function of a Markov decision problem. We present two approaches to this problem: one based on the methodology of approximate linear programming (ALP) and another based on the so-called martingale duality approach. We show that these two approaches are intimately connected. Exploring this connection leads us to the prob...

متن کامل

First-Order Markov Decision Processes

Markov Decision Processes (MDPs) [7] have developed lately as a standard method for representing uncertainty in decision-theoretic planning. Traditional MDP solution techniques have the drawback that they require an explicit state space, limiting their applicability to real-world problems due to the large number of world states occurring in such problems. Recent work addresses this drawback via...

متن کامل

Accelerated decomposition techniques for large discounted Markov decision processes

Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial solutions are combined to obtain the global solution. In this paper, we first propose a novel algorith...

متن کامل

ON THE INFINITE ORDER MARKOV PROCESSES

The notion of infinite order Markov process is introduced and the Markov property of the flow of information is established.

متن کامل

Loss Bounds for Uncertain Transition Probabilities in Markov Decision Processes

We analyze losses resulting from uncertain transition probabilities in Markov decision processes with bounded nonnegative rewards. We assume that policies are pre-computed using exact dynamic programming with the estimated transition probabilities, but the system evolves according to different, true transition probabilities. Our approach analyzes the growth of errors incurred by stepping backwa...

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: Journal of Mathematical Analysis and Applications

سال: 1981

ISSN: 0022-247X

DOI: 10.1016/0022-247x(81)90106-2