Splitting randomized stationary policies in total-reward Markov decision processes
EA Feinberg, UG Rothblum - Mathematics of Operations …, 2012 - pubsonline.informs.org
This paper studies a discrete-time total-reward Markov decision process (MDP) with a given
initial state distribution. A (randomized) stationary policy can be split on a given set of states …
initial state distribution. A (randomized) stationary policy can be split on a given set of states …
A general symbolic approach to Kolmogorov-Sinai entropy
I Stolz, K Keller - Entropy, 2017 - mdpi.com
It is popular to study a time-dependent nonlinear system by encoding outcomes of
measurements into sequences of symbols following certain symbolization schemes. Mostly …
measurements into sequences of symbols following certain symbolization schemes. Mostly …
Boundary-nonregular functions in the disc algebra and in holomorphic Lipschitz spaces
L Bernal-González, A Bonilla, J López-Salazar… - … Journal of Mathematics, 2018 - Springer
We prove in this paper the existence of dense linear subspaces in the classical holomorphic
Lipschitz spaces in the disc all of whose non-null functions are nowhere differentiable at the …
Lipschitz spaces in the disc all of whose non-null functions are nowhere differentiable at the …
[PDF][PDF] Symbolic-based analysis techniques and their information contents
IL Stolz - 2018 - zhb.uni-luebeck.de
The abundance of data that is gathered every day with the ultimate goal to understand and
to predict the world around us requires techniques to analyze the data efficiently and …
to predict the world around us requires techniques to analyze the data efficiently and …