Iterative adaptive dynamic programming methods with neural network implementation for multi-player zero-sum games
Cited by 44
Related Papers
Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method
|IEEE Transactions on Industrial Electronics|2016|411
Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms
|IEEE Transactions on Cybernetics|2016|133
Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm
|IEEE Transactions on Systems Man and Cybernetics Systems|2019|118
Finite-Horizon $H_{\infty }$ Tracking Control for Unknown Nonlinear Systems With Saturating Actuators
|IEEE Transactions on Neural Networks and Learning Systems|2017|105