Get started
Keyword

critic network

Description: A neural-network component in adaptive and reinforcement control that estimates value or cost to guide an actor or control policy.
OpenAlex ID: keywords/critic-network
A Menu of Designs for Reinforcement Learning Over Time
1991 · Paul J. Werbos · The MIT Press eBooks · 615
An Actor-Critic Algorithm for Sequence Prediction
2016 · Bahdanau, Dzmitry, Brakel, Philemon, et al. · arXiv (Cornell University) · 423
PDF
A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters
2020 · Di Cao, Weihao Hu, et al. · IEEE Transactions on Power Systems · 276
Adaptive-critic-based neural networks for aircraft optimal control
1996 · S. N. Balakrishnan, Victor Biega · Journal of Guidance Control and Dynamics · 261
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
2015 · Qinglai Wei, Ruizhuo Song, et al. · IEEE Transactions on Neural Networks and Learning Systems · 253
Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters
2016 · Lei Liu, Zhanshan Wang, et al. · IEEE Transactions on Automation Science and Engineering · 232
Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems
2014 · Yan-Jun Liu, Li Tang, et al. · IEEE Transactions on Neural Networks and Learning Systems · 225
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays
2018 · Wei Dai, Nanqing Dong, et al. · Lecture notes in computer science · 207
PDF
Robust Actor–Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics
2021 · Yongliang Yang, Weinan Gao, et al. · IEEE Transactions on Fuzzy Systems · 182
Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems
2016 · Chaoxu Mu, Zhen Ni, et al. · IEEE Transactions on Cybernetics · 181
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming
2014 · Ding Wang, Derong Liu, et al. · Information Sciences · 159
Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance
2017 · Kyriakos G. Vamvoudakis, Henrique Ferraz · Automatica · 141
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data
2015 · Ruizhuo Song, Frank Lewis, et al. · IEEE Transactions on Neural Networks and Learning Systems · 140
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
2002 · X. Xu, H. He, et al. · Journal of Artificial Intelligence Research · 135
PDF
Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems
2017 · Xiong Yang, Haibo He, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 129
Reinforcement Learning-Based Output Feedback Control of Nonlinear Systems With Input Constraints
2005 · P. He, S. Jagannathan · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 124
An Adaptive Critic Design-Based Fuzzy Neural Controller for Hypersonic Vehicles: Predefined Behavioral Nonaffine Control
2019 · Xiangwei Bu, Yu Xiao, et al. · IEEE/ASME Transactions on Mechatronics · 122
Adaptive Critic Learning and Experience Replay for Decentralized Event-Triggered Control of Nonlinear Interconnected Systems
2019 · Xiong Yang, Haibo He · IEEE Transactions on Systems Man and Cybernetics Systems · 118
Optimal Control-Based Adaptive NN Design for a Class of Nonlinear Discrete-Time Block-Triangular Systems
2016 · Yan-Jun Liu, Shaocheng Tong · IEEE Transactions on Cybernetics · 118
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game
2020 · Qinglai Wei, Liao Zhu, et al. · IEEE Transactions on Neural Networks and Learning Systems · 116
Decentralized Event-Triggered Control for a Class of Nonlinear-Interconnected Systems Using Reinforcement Learning
2019 · Xiong Yang, Haibo He · IEEE Transactions on Cybernetics · 112
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
2018 · Yan-Jun Liu, Shu Li, et al. · IEEE Transactions on Neural Networks and Learning Systems · 112
Data-driven-based sliding-mode dynamic event-triggered control of unknown nonlinear systems via reinforcement learning
2024 · Tengda Wang, Guangdeng Zong, et al. · Neurocomputing · 107
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation
2023 · Himashi Peiris, Munawar Hayat, et al. · Nature Machine Intelligence · 106
Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm
2015 · Zhanshan Wang, Lei Liu, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 102
Works count: 363
Citation count: 8,917
Year
Topic
Type