Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg–Nash games with time-varying state constraints
Chunbin Qin, Tianzeng Zhu, Kaijun Jiang, Yinliang Wu
Topics & Concepts
Computer scienceReinforcement learningStackelberg competitionNash equilibriumControl (management)Event (particle physics)State (computer science)Mathematical optimizationArtificial intelligenceMathematical economicsAlgorithmQuantum mechanicsMathematicsPhysicsAdaptive Dynamic Programming ControlReinforcement Learning in RoboticsOptimism, Hope, and Well-being