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Poster Abstract: Controller Synthesis for Nonlinear Stochastic Games via Approximate Probabilistic Relations.
Bingzhuo Zhong
Abolfazl Lavaei
Majid Zamani
Marco Caccamo
Published in:
HSCC (2022)
Keyphrases
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stochastic games
controller synthesis
nash equilibria
multi agent
markov decision processes
closed loop
nash equilibrium
incomplete information
robust optimization
imperfect information
game theory
control system
learning automata
average reward