DagRep.14.6.1.pdf
- Filesize: 1.89 MB
- 18 pages
Document
Stochastic Games (Dagstuhl Seminar 24231)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 14, Issue 6
Volume: Dagstuhl Reports, Volume 14
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-12-19
Cite As Get BibTex
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)
https://doi.org/10.4230/DagRep.14.6.1
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.
Subject Classification
ACM Subject Classification
- Theory of computation → Algorithmic game theory and mechanism design
- Theory of computation → Convergence and learning in games
- Theory of computation → Probabilistic computation
- Theory of computation → Representations of games and their complexity
Keywords
- Algorithmic Game Theory
- Algorithms
- Optimisation
- Reinforcement Learning
- Stochastic Games
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads