AbstractThis paper considers how partially observable Markov decision processes may be transformed into piecewise linear ones, which have many advantages in that they are easily represented in a computer. Also we specify how to find the products of simple partitions on which cost functions are piecewise linear
Contains fulltext : 195268.pdf (preprint version ) (Open Access) ...
International audienceIn this note, we present few examples of Piecewise Deterministic Markov Proces...
"The specifi c problem addressed in this proposal is the development of\ud good approximation algori...
AbstractThis paper considers how partially observable Markov decision processes may be transformed i...
This dissertation applies policy improvement and successive approximation or value iteration to a g...
This letter investigates the structure of the optimal policy for a class of Markov decision processe...
This letter investigates the structure of the optimal policy for a class of Markov decision processe...
Gottinger HW. Markovian decision processes with limited state observability and unobservable costs. ...
This paper concerns a Markovian piecewise linear process, based on a continuous-time Markov chain wi...
We present two new algorithms for Partially Observable Markov Decision Processes (pomdps). The first...
This note presents a technique that is useful for the study of piecewise deterministic Markov decisi...
There is much interest in using partially observable Markov decision processes (POMDPs) as a formal ...
Partially Observable Markov Decision Processes (POMDPs) provide a rich representation for agents act...
AbstractIn this paper, we bring techniques from operations research to bear on the problem of choosi...
This note considers finite state and action spaces controlled Markov chains with multiple costs. The...
Contains fulltext : 195268.pdf (preprint version ) (Open Access) ...
International audienceIn this note, we present few examples of Piecewise Deterministic Markov Proces...
"The specifi c problem addressed in this proposal is the development of\ud good approximation algori...
AbstractThis paper considers how partially observable Markov decision processes may be transformed i...
This dissertation applies policy improvement and successive approximation or value iteration to a g...
This letter investigates the structure of the optimal policy for a class of Markov decision processe...
This letter investigates the structure of the optimal policy for a class of Markov decision processe...
Gottinger HW. Markovian decision processes with limited state observability and unobservable costs. ...
This paper concerns a Markovian piecewise linear process, based on a continuous-time Markov chain wi...
We present two new algorithms for Partially Observable Markov Decision Processes (pomdps). The first...
This note presents a technique that is useful for the study of piecewise deterministic Markov decisi...
There is much interest in using partially observable Markov decision processes (POMDPs) as a formal ...
Partially Observable Markov Decision Processes (POMDPs) provide a rich representation for agents act...
AbstractIn this paper, we bring techniques from operations research to bear on the problem of choosi...
This note considers finite state and action spaces controlled Markov chains with multiple costs. The...
Contains fulltext : 195268.pdf (preprint version ) (Open Access) ...
International audienceIn this note, we present few examples of Piecewise Deterministic Markov Proces...
"The specifi c problem addressed in this proposal is the development of\ud good approximation algori...