Incremental reinforcement learning with prioritized sweeping for dynamic environments Z Wang, C Chen, HX Li, D Dong, TJ Tarn IEEE-ASME Transactions on Mechatronics 24 (2), 621-632, 2019 | 60 | 2019 |
Reinforcement learning based optimal sensor placement for spatiotemporal modeling Z Wang, HX Li, C Chen IEEE Transactions on Cybernetics 50 (6), 2861-2871, 2020 | 47 | 2020 |
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference Z Wang, C Chen, D Dong IEEE Transactions on Neural Networks and Learning Systems, 2022 | 46 | 2022 |
Incremental spatiotemporal learning for online modeling of distributed parameter systems Z Wang, HX Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (12), 2612-2622, 2019 | 39 | 2019 |
Incremental reinforcement learning in continuous spaces via policy relaxation and importance weighting Z Wang, HX Li, C Chen IEEE Transactions on Neural Networks and Learning Systems 31 (6), 1870-1883, 2020 | 34 | 2020 |
Rule-based reinforcement learning for efficient robot navigation with space reduction Y Zhu, Z Wang, C Chen, D Dong IEEE-ASME Transactions on Mechatronics 27 (2), 846-857, 2022 | 30 | 2022 |
A novel incremental learning scheme for reinforcement learning in dynamic environments Z Wang, C Chen, HX Li, D Dong, TJ Tarn 2016 12th World Congress on Intelligent Control and Automation (WCICA), 2426 …, 2016 | 20 | 2016 |
IEDQN: Information exchange DQN with a centralized coordinator for traffic signal control D Xie, Z Wang, C Chen, D Dong 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 18 | 2020 |
Better fine-tuning via instance weighting for text classification Z Wang, W Bi, Y Wang, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7241 …, 2019 | 14 | 2019 |
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments Z Wang, C Chen, D Dong IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109 …, 2023 | 13 | 2023 |
Dissimilarity analysis based multimode modeling for complex distributed parameter systems Z Wang, HX Li IEEE Transactions on Systems, Man and Cybernetics: Systems 51 (5), 2789-2797, 2021 | 12 | 2021 |
A Dirichlet process mixture of robust task models for scalable lifelong reinforcement learning Z Wang, C Chen, D Dong IEEE Transactions on Cybernetics, 2023 | 10 | 2023 |
Continual portfolio selection in dynamic environments via incremental reinforcement learning S Liu, B Wang, H Li, C Chen, Z Wang International Journal of Machine Learning and Cybernetics 14, 269–279, 2023 | 5 | 2023 |
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation D Xie, Z Wang, C Chen, D Dong IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109 …, 2022 | 5 | 2022 |
Rolling horizon wind-thermal unit commitment optimization based on deep reinforcement learning J Shi, B Wang, R Yuan, Z Wang, C Chen, J Watada Applied Intelligence 53 (16), 19591-19609, 2023 | 4 | 2023 |
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Z Hu, Z Zhang, H Li, C Chen, H Ding, Z Wang International Conference on Learning Representations, 2024 | 3 | 2024 |
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning H Ding, Y Tang, Q Wu, B Wang, C Chen, Z Wang IEEE-CAA Journal of Automatica Sinica, DOI: 10.1109/JAS.2023.123477, 2023 | 3 | 2023 |
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Z Liu, Y Zhu, Z Wang, Y Gao, C Chen arXiv preprint arXiv:2209.07225, 2022 | 3 | 2022 |
A Coordinated Multiagent Reinforcement Learning Method Using Chicken Game Z Wang, Z Wang, C Chen 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2020 | 3 | 2020 |
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning J Liu, Z Wang, C Chen, D Dong IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109 …, 2023 | 2 | 2023 |