| Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming D Wang, D Liu, Q Wei, D Zhao, N Jin Automatica 48 (8), 1825-1832, 2012 | 403 | 2012 |
| Computational intelligence in urban traffic signal control: A survey D Zhao, Y Dai, Z Zhang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011 | 343 | 2011 |
| Design of a stable sliding-mode controller for a class of second-order underactuated systems W Wang, J Yi, D Zhao, D Liu IEE Proceedings-Control Theory and Applications 151 (6), 683-690, 2004 | 327 | 2004 |
| Adaptive sliding mode fuzzy control for a two-dimensional overhead crane D Liu, J Yi, D Zhao, W Wang Mechatronics 15 (5), 505-522, 2005 | 320 | 2005 |
| Building energy consumption prediction: An extreme deep learning approach C Li, Z Ding, D Zhao, J Yi, G Zhang Energies 10 (10), 1525, 2017 | 283 | 2017 |
| Event-Triggered Control for Continuous-Time Nonlinear System via Concurrent Learning Q Zhang, D Zhao, Y Zhu IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1071-1081, 2016 | 277 | 2016 |
| Neural-network-based optimal control for a class of unknown discrete-time nonlinear systems using globalized dual heuristic programming D Liu, D Wang, D Zhao, Q Wei, N Jin IEEE Transactions on Automation Science and Engineering 9 (3), 628-634, 2012 | 268 | 2012 |
| A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach Z Song, J Yi, D Zhao, X Li Fuzzy sets and systems 154 (2), 208-226, 2005 | 251 | 2005 |
| BP neural network prediction-based variable-period sampling approach for networked control systems J Yi, Q Wang, D Zhao, JT Wen Applied Mathematics and Computation 185 (2), 976-988, 2007 | 225 | 2007 |
| Deep reinforcement learning with visual attention for vehicle classification D Zhao, Y Chen, L Lv IEEE Transactions on Cognitive and Developmental Systems 9 (4), 356-367, 2016 | 215 | 2016 |
| Data-based adaptive critic designs for nonlinear robust optimal control with uncertain dynamics D Wang, D Liu, Q Zhang, D Zhao IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (11), 1544-1555, 2015 | 208 | 2015 |
| A survey of deep reinforcement learning in video games K Shao, Z Tang, Y Zhu, N Li, D Zhao arXiv preprint arXiv:1912.10944, 2019 | 206 | 2019 |
| Experience replay for optimal control of nonzero-sum game systems with unknown dynamics D Zhao, Q Zhang, D Wang, Y Zhu IEEE transactions on cybernetics 46 (3), 854-865, 2015 | 204 | 2015 |
| Starcraft micromanagement with reinforcement learning and curriculum transfer learning K Shao, Y Zhu, D Zhao IEEE Transactions on Emerging Topics in Computational Intelligence 3 (1), 73-84, 2018 | 201 | 2018 |
| Deep reinforcement learning-based automatic exploration for navigation in unknown environment H Li, Q Zhang, D Zhao IEEE transactions on neural networks and learning systems 31 (6), 2064-2076, 2019 | 198 | 2019 |
| Event-triggered optimal control for partially unknown constrained-input systems via adaptive dynamic programming Y Zhu, D Zhao, H He, J Ji IEEE Transactions on Industrial Electronics 64 (5), 4101-4109, 2016 | 197 | 2016 |
| Trajectory tracking control of omnidirectional wheeled mobile manipulators: robust neural network-based sliding mode approach D Xu, D Zhao, J Yi, X Tan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 187 | 2009 |
| Event-based robust control for uncertain nonlinear systems using adaptive dynamic programming Q Zhang, D Zhao, D Wang IEEE transactions on neural networks and learning systems 29 (1), 37-50, 2016 | 180 | 2016 |
| Reinforcement learning and deep learning based lateral control for autonomous driving [application notes] D Li, D Zhao, Q Zhang, Y Chen IEEE Computational Intelligence Magazine 14 (2), 83-98, 2019 | 166 | 2019 |
| Deep reinforcement learning with experience replay based on SARSA D Zhao, H Wang, K Shao, Y Zhu 2016 IEEE symposium series on computational intelligence (SSCI), 1-6, 2016 | 159 | 2016 |
Qichao Zhang中国科学院自动化研究所在 ia.ac.cn 的电子邮件经过验证
Qichao Zhang中国科学院自动化研究所在 ia.ac.cn 的电子邮件经过验证