A Neural-Reinforcement-Learning-based Guaranteed Cost Control for Perturbed Tracking Systems X Zhong, Z Ni IEEE Transactions on Artificial Intelligence, 2023 | | 2023 |
Design of a Low-Cost Wireless Charging Station Based on the Robotic Vision System WY Cheng, WC Cheng, Z Ni, ED Engeberg, X Zhong 2023 IEEE 20th International Conference on Smart Communities: Improving …, 2023 | | 2023 |
Microgrid energy scheduling under uncertain extreme weather: Adaptation from parallelized reinforcement learning agents A Das, Z Ni, X Zhong International Journal of Electrical Power & Energy Systems 152, 109210, 2023 | 4 | 2023 |
Federated learning for crowd counting in smart surveillance systems Y Pang, Z Ni, X Zhong IEEE Internet of Things Journal, 2023 | 9 | 2023 |
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning H Li, X Zhong, H He 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
A new deep Q-learning method with dynamic epsilon adjustment and path planner assisted techniques for Turtlebot mobile robot WCA Cheng, Z Ni, X Zhong Synthetic Data for Artificial Intelligence and Machine Learning: Tools …, 2023 | | 2023 |
An automated statistical evaluation framework of rapidly-exploring random tree frontier detector for indoor space exploration WCC Andy, WYC Marty, Z Ni, X Zhong 2022 4th International Conference on Control and Robotics (ICCR), 1-7, 2022 | 1 | 2022 |
Multi-virtual-agent reinforcement learning for a stochastic predator-prey grid environment Y Lin, Z Ni, X Zhong 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 1 | 2022 |
Kernelized deep learning for matrix factorization recommendation system using explicit and implicit information X Zheng, Z Ni, X Zhong, Y Luo IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1205-1216, 2022 | 7 | 2022 |
An Intelligent and Secure Control Approach for Nonlinear Systems under Attacks X Zhong, Z Ni 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | | 2021 |
Aggregating learning agents for microgrid energy scheduling during extreme weather events A Das, Z Ni, X Zhong 2021 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2021 | 4 | 2021 |
A reinforcement learning-based control approach for unknown nonlinear systems with persistent adversarial inputs X Zhong, H He 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
Consensus control of leader-following multi-agent systems in directed topology with heterogeneous disturbances Q Wei, X Wang, X Zhong, N Wu IEEE/CAA Journal of automatica sinica 8 (2), 423-431, 2021 | 122 | 2021 |
Reinforcement Learning and Adaptive Optimal Control of Congestion Pricing T Nguyen, W Gao, X Zhong, S Agarwal IFAC-PapersOnLine 54 (2), 221-226, 2021 | 3 | 2021 |
Semicentralized deep deterministic policy gradient in cooperative StarCraft games D Xie, X Zhong IEEE transactions on neural networks and learning systems 33 (4), 1584-1593, 2020 | 20 | 2020 |
Experimental validation of approximate dynamic programming based optimization and convergence on microgrid applications A Das, Z Ni, X Zhong, D Wu 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 4 | 2020 |
Event-triggered multi-agent optimal regulation using adaptive dynamic programming X Zhong, H He 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 2 | 2020 |
Event-triggered ADP control of a class of non-affine continuous-time nonlinear systems using output information Y Yang, C Xu, D Yue, X Zhong, X Si, J Tan Neurocomputing 378, 304-314, 2020 | 12 | 2020 |
Approximate dynamic programming for nonlinear-constrained optimizations X Yang, H He, X Zhong IEEE transactions on cybernetics 51 (5), 2419-2432, 2019 | 62 | 2019 |
Deep Deterministic Policy Gradients with Transfer Learning Framework in StarCraft Micromanagement D Xie, X Zhong 2019 IEEE International Conference on Electro Information Technology (EIT …, 2019 | | 2019 |