Metrics for labelled Markov processes
By Josée Desharnais, Vineet Gupta, R. Jagadeesan, Prakash Panangaden. Theoretical Computer Science, 2004
363 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/b4fd4615e9e0b4cd586d540e753fc26c0df83cc7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Doina Precup
- Gheorghe Comanici
- Prakash Panangaden
- Sherry Shanshan Ruan
- Antoine Girard
- George Pappas
- Pablo Samuel Castro
- N. Ferns
In Computational Theory and Mathematics
- Doina Precup
- Gheorghe Comanici
- George Pappas
- Antoine Girard
- Prakash Panangaden
- N. Ferns
- Pablo Samuel Castro
- Michael L. Littman
Citations in the corpus
- Representation Discovery for MDPs Using Bisimulation Metrics (2015, background): “It was extended to MDPs with rewards by Givan et al. (2003); the metric analogue is due to Desharnais et al. (1999, 2004) and the extension of the metric to include rewards is from Ferns et al. (2004).”
- Approximation Metrics for Discrete and Continuous Systems (2006, methodology): “If the equations given by Theorems 15 and 19 are difficult to solve, then we can consider relaxations that will result in computing an over-approximation of the simulation or the bisimulation metrics.”
- Logical, Metric, and Algorithmic Characterisations of Probabilistic Bisimulation (2011, background): “for labelled Markov chains [17, 19] and labelled concurrent Markov chains [18]; and later on by Ferns et al.”
- Bisimulation Metrics for Continuous Markov Decision Processes (2011, background): “This forms the basis for the metrics of [14, 16, 17], which are defined in terms of realvalued logical expressions.”