| A boundedness theoretical analysis for GrADP design: A case study on maze navigation Z Ni, X Zhong, H He 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 4 | 2015 |
| A computational intelligence approach for residential home energy management considering reward incentives Z Ni, P Paudyal, X Zhong 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 15 | 2017 |
| A neural network based online learning and control approach for Markov jump systems X Zhong, H He, H Zhang, Z Wang Neurocomputing 149, 116-123, 2015 | 39 | 2015 |
| A Neural-Reinforcement-Learning-based Guaranteed Cost Control for Perturbed Tracking Systems X Zhong, Z Ni IEEE Transactions on Artificial Intelligence, 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 |
| A reinforcement learning approach for sequential decision-making process of attacks in smart grid Z Ni, S Paul, X Zhong, Q Wei 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 40 | 2017 |
| 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 |
| A theoretical foundation of goal representation heuristic dynamic programming X Zhong, Z Ni, H He IEEE Transactions on Neural Networks and Learning Systems 27 (12), 2513-2525, 2015 | 68 | 2015 |
| Adaptive dynamic programming for robust regulation and its application to power systems X Yang, H He, X Zhong IEEE Transactions on Industrial Electronics 65 (7), 5722-5732, 2017 | 74 | 2017 |
| Adaptive event-triggered control based on heuristic dynamic programming for nonlinear discrete-time systems L Dong, X Zhong, C Sun, H He IEEE transactions on neural networks and learning systems 28 (7), 1594-1605, 2016 | 182 | 2016 |
| Advanced policy learning near-optimal regulation D Wang, X Zhong IEEE/CAA Journal of Automatica Sinica 6 (3), 743-749, 2019 | 14 | 2019 |
| 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 |
| 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 |
| An event-triggered ADP control approach for continuous-time system with unknown internal states X Zhong, H He IEEE transactions on cybernetics 47 (3), 683-694, 2016 | 234 | 2016 |
| 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 |
| 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 |
| Approximate dynamic programming for nonlinear-constrained optimizations X Yang, H He, X Zhong IEEE transactions on cybernetics 51 (5), 2419-2432, 2019 | 62 | 2019 |
| Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning S Poudel, Z Ni, X Zhong, H He 2016 International Joint Conference on Neural Networks (IJCNN), 2730-2737, 2016 | 13 | 2016 |
| Comprehensive cooperative deep deterministic policy gradients for multi-agent systems in unstable environment D Xie, X Zhong, Q Yang, Y Huang Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | | 2019 |
| Conference Proceeding L Dong, X Zhong, C Sun, H He | | |
Haibo HeUniversity of Rhode Island在 uri.edu 的电子邮件经过验证
