Dec 15, 1983 · We present a class of countable state space Markovian decision models that can be investigated by means of an associated finite-state, ...
Mar 27, 2024 · We present a class of countable state space Markovian decision models that can be investigated by means of an associated finite-state, ...
Abstract: We present a class of countable state space Markovian decision models that can be in- vestigated by means of an associated finite-state, ...
This paper establishes some asymptotic properties of the finite state and action space Markovian decision model. For the discounted case, a turnpike theorem ...
In this chapter we introduce the formal problem of finite Markov decision processes, or finite MDPs, which we try to solve in the rest of the book.
Finite Markov processes are used to model a variety of decision processes in areas such as games, weather, manufacturing, business, and biology.
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A Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability of each event depends only on the ...
A finite MDP is an MDP with finite state and action sets. Most of the current theory of reinforcement learning is restricted to finite MDPs.
This paper considers the computational complexity of the basic tasks facing such a controller. We consider here a mathematical model of controlled stochastic ...
top This paper deals with continuous-time Markov decision processes with the unbounded transition rates under the strong average cost criterion. The state and ...