Consider a Markov decision process with countable state space S and finite action space A. If in state i∈S action a∈A is taken then we get an immediate reward r(i,a) and the system makes a transition to state j with probability p(i,a,j). We assume Σj∈Sp(i,a,j)=1
The paper studies optimization of average-reward continuous-time finite state and action Markov Deci...
By a decision process is meant a pair (X, r), where X is an arbitrary set (the state space), and r a...
We consider a semi-Markov decision process with arbitrary action space; the state space is the nonne...
Consider a Markov decision process with countable state space S and finite action space A. If in sta...
This paper gives a systematic treatment of results about the existence of various types of nearly-op...
(Extended version of Memorandum COSOR 81-11) This paper deals with total reward Markov decision proc...
For Markov decision processes with countable state space and nonnegative immediate rewards Ornstein ...
AbstractThis paper deals with a discrete time Markov decision model with a finite state space, arbit...
In this paper the following result is proved. In any total reward countable state Markov decision pr...
We shall be concerned with the optimization problem of semi-Markov decision processes with countable...
We are interested in the existence of pure and stationary optimal strategies in Markov decision proc...
We consider the Markov decision process with finite state and action spaces at the criterion of aver...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
AbstractThis paper studies the minimizing risk problems in Markov decision processes with countable ...
A Markov decision process (MDP) relies on the notions of state, describing the current situation of ...
The paper studies optimization of average-reward continuous-time finite state and action Markov Deci...
By a decision process is meant a pair (X, r), where X is an arbitrary set (the state space), and r a...
We consider a semi-Markov decision process with arbitrary action space; the state space is the nonne...
Consider a Markov decision process with countable state space S and finite action space A. If in sta...
This paper gives a systematic treatment of results about the existence of various types of nearly-op...
(Extended version of Memorandum COSOR 81-11) This paper deals with total reward Markov decision proc...
For Markov decision processes with countable state space and nonnegative immediate rewards Ornstein ...
AbstractThis paper deals with a discrete time Markov decision model with a finite state space, arbit...
In this paper the following result is proved. In any total reward countable state Markov decision pr...
We shall be concerned with the optimization problem of semi-Markov decision processes with countable...
We are interested in the existence of pure and stationary optimal strategies in Markov decision proc...
We consider the Markov decision process with finite state and action spaces at the criterion of aver...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
AbstractThis paper studies the minimizing risk problems in Markov decision processes with countable ...
A Markov decision process (MDP) relies on the notions of state, describing the current situation of ...
The paper studies optimization of average-reward continuous-time finite state and action Markov Deci...
By a decision process is meant a pair (X, r), where X is an arbitrary set (the state space), and r a...
We consider a semi-Markov decision process with arbitrary action space; the state space is the nonne...
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