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Stochastic Games (Dagstuhl Seminar 24231)

Authors: Nathanaël Fijalkow, Jan Kretinsky, Ann Nowé, and Gabriel Bathie

Published in: Dagstuhl Reports, Volume 14, Issue 6 (2024)

Abstract

The Dagstuhl Seminar on Stochastic Games brought together leading researchers and practitioners in the field to discuss recent advances, challenges, and future directions. The seminar featured a series of tutorials, invited talks, and contributed talks, which provided a comprehensive overview of the latest developments in Markov decision processes, reinforcement learning, and stochastic game theory. The seminar fostered lively discussions during open problem sessions and working groups, culminating in a collaborative exploration of open questions and potential research directions.

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Nathanaël Fijalkow, Jan Kretinsky, Ann Nowé, and Gabriel Bathie. Stochastic Games (Dagstuhl Seminar 24231). In Dagstuhl Reports, Volume 14, Issue 6, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{fijalkow_et_al:DagRep.14.6.1,
  author =	{Fijalkow, Nathana\"{e}l and Kretinsky, Jan and Now\'{e}, Ann and Bathie, Gabriel},
  title =	{{Stochastic Games (Dagstuhl Seminar 24231)}},
  pages =	{1--18},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{6},
  editor =	{Fijalkow, Nathana\"{e}l and Kretinsky, Jan and Now\'{e}, Ann and Bathie, Gabriel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.6.1},
  URN =		{urn:nbn:de:0030-drops-227344},
  doi =		{10.4230/DagRep.14.6.1},
  annote =	{Keywords: Algorithmic Game Theory, Algorithms, Optimisation, Reinforcement Learning, Stochastic Games}
}

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Stochastic Games (Dagstuhl Seminar 24231)

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