Algorithms for stochastic games ? A survey
Copyright policy )Algorithms for stochastic games ? A survey
Summary: We consider finite state, finite action, stochastic games over an infinite time horizon. We survey algorithms for the computation of minimax optimal stationary strategies in the zero-sum case, and of Nash equilibria in stationary strategies in the non-zero-sum case. We also survey those theoretical results that pave the way towards future development of algorithms.
- University of Illinois at Chicago United States
- University of Queensland Australia
- University of Maryland, Baltimore United States
- University of Maryland, Baltimore County United States
- University of Queensland Australia
Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming, finite state, General Mathematics, Management Science and Operations Research, Nash equilibria, infinite time horizon, Stochastic games, stochastic differential games, computation of minimax optimal stationary strategies, Computational methods for problems pertaining to operations research and mathematical programming, stochastic games, finite action, survey algorithms, Software
Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming, finite state, General Mathematics, Management Science and Operations Research, Nash equilibria, infinite time horizon, Stochastic games, stochastic differential games, computation of minimax optimal stationary strategies, Computational methods for problems pertaining to operations research and mathematical programming, stochastic games, finite action, survey algorithms, Software
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