Adversarial dynamic games for Markov jump systems: A policy iteration Q-learning method
Hao Shen, Jiacheng Wu, Jing Wang, Zheng‐Guang Wu
Topics & Concepts
Markov decision processNash equilibriumMathematical optimizationAdversarial systemComputer scienceControl (management)Set (abstract data type)Reinforcement learningOptimal controlAlgebraic Riccati equationMarkov processControl theory (sociology)Controller (irrigation)Markov chainJumpTrajectoryAlgebraic numberDisturbance (geology)AttenuationMathematicsRiccati equationBest responseAlgebraic equationGame theoryStochastic controlControl systemSequential gameQ-learningAdaptive Dynamic Programming ControlReinforcement Learning in RoboticsMechanical Circulatory Support Devices