Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135875" target="_blank" >RIV/00216224:14330/24:00135875 - isvavai.cz</a>

Result on the web

<a href="https://ojs.aaai.org/index.php/AAAI/article/view/29993" target="_blank" >https://ojs.aaai.org/index.php/AAAI/article/view/29993</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1609/aaai.v38i18.29993" target="_blank" >10.1609/aaai.v38i18.29993</a>

Result language

angličtina

Original language name

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA23-06963S" target="_blank" >GA23-06963S: VESCAA: Verifiable and Efficient Synthesis of Controllers for Autonomous Agents</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)

ISBN

9781577358879

ISSN

2159-5399

e-ISSN

—

Number of pages

8

Pages from-to

20143-20150

Publisher name

AAAI Press

Place of publication

Neuveden

Event location

Vancouver, Canada

Event date

Jan 1, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001241509500039