A new paper was accepted to AAAI 2024!

A paper on local stability of invariant distributions was accepted to AAAI 2024.

9 Dec 2023

No description

A paper Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes written by David Klaška, Antonín Kučera, Vojtěch Kůr, Vít Musil, and Vojtěch Řehák, has been accepted to AAAI 2024.

Abstract: Long-run average optimization problems for Markov decision processes (MDPs) require constructing policies with optimal steady-state behavior, i.e., optimal limit frequency of visits to the states. However, such policies may suffer from local instability in the sense that the frequency of states visited in a bounded time horizon along a run differs significantly from the limit frequency. In this work, we propose an efficient algorithmic solution to this problem.


More articles

All articles

You are running an old browser version. We recommend updating your browser to its latest version.

More info