Markov Games
Markov Games is a stochastic game model in dynamic game theory where the state transitions depend only on the current state and actions of the players, incorporating the Markov property to define strategies and equilibria in multi-agent sequential decision-making under uncertainty.
441
Publications
22.1K
Citations
759
Authors
392
Institutions
Publications per year
2017–2026
93
Parents
441
The complexity of stochastic games
Anne Condon · Information and Computation · 1992 · 518 citations
Theory of Games and Statistical Decisions
Henri Guitton, D. Blackwell, M. A. Girshick · Revue économique · 1955 · 512 citations
Contraction Mappings in the Theory Underlying Dynamic Programming
Eric V. Denardo · SIAM Review · 1967 · 466 citations
1–5 of 441
759
11
h-index
11
h-index
9
h-index
9
h-index
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
8 publications · 152 citations
8
h-index
1–5 of 759
392

Instituto Politécnico Nacional
Mexico City, Mexico
12 h-index
19 publications
354 citations
Institute of Mathematics
Warsaw, Poland
10 h-index
10 publications
257 citations
Stanford University
Stanford, United States
10 h-index
21 publications
665 citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
10 h-index
11 publications
344 citations

Wrocław University of Science and Technology
Wroclaw, Poland
10 h-index
10 publications
190 citations

University of Zielona Góra
Zielona Góra, Poland
9 h-index
10 publications
199 citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
16 publications
352 citations
Princeton University
Princeton, United States
8 h-index
9 publications
394 citations
1–8 of 392
Repository · 31 publications · 1.4K citations
18
h-index
17 publications · 587 citations
15
h-index
12 publications · 439 citations
12
h-index
12 publications · 396 citations
12
h-index
Repository · 16 publications · 252 citations
12
h-index
1–5