Selected Papers

Jinmei Liu, Wenbin Li, Xiangyu Yue, Shilin Zhang, Chunlin Chen, and Zhi Wang, "Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay," arXiv preprint arXiv:2404.10662, 2024. [code]

Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, and Zhi Wang*, "Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning," in Proceedings of International Conference on Learning Representations (ICLR), 2024. [code]

Junyi Wang, Yuanyang Zhu, Zhi Wang*, Yan Zheng, Jianye Hao, and Chunlin Chen, "BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization," in Proceedings of European Conference on Artificial Intelligence (ECAI), 2023. [code]
Jinmei Liu, Zhi Wang* Chunlin Chen, and Daoyi Dong, Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning," IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3281604. [pdf]
Hongyu Ding, Yuanze Tang, Qing Wu, Bo Wang, Chunlin Chen, Zhi Wang*, "Magnetic field-base reward shaping for goal-conditioned reinforcement learning," IEEE-CAA Journal of Automatica Sinica, 2023, 10(12): 1-15. [pdf] [code] [video]
Junyi Wang, Zhi Wang*, Huaxiong Li, Chunlin Chen, Adaptive noise-based evolutionary reinforcement learning with maximum entropy, Acta Automatica Sinica, 2023, 49(1): 54−66. [pdf]
Zhi Wang, Chunlin Chen, and Daoyi Dong, "A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning," IEEE Transactions on Cybernetics, 2023, 53(12): 7509-7520. [pdf] [code]
Zhi Wang, Chunlin Chen, and Daoyi Dong, "Instance weighted incremental evolution strategies for reinforcement learning in dynamic environments," IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(12): 9742-9756. [pdf] [code]

Donghan Xie, Zhi Wang*, Chunlin Chen, and Daoyi Dong, "Depthwise convolution for multi-agent communication with enhanced mean-field approximation," IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3230701. [pdf]
Yuanyang Zhu, Zhi Wang*, Chunlin Chen, and Daoyi Dong, "Rule-based reinforcement learning for efficient robot navigation with space reduction," IEEE-ASME Transactions on Mechatronics, 2022, 27(2): 846-857. [pdf] [supp]
Zhi Wang, Chunlin Chen, and Daoyi Dong, "Lifelong incremental reinforcement learning with online Bayesian inference," IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(8): 4003-4016. [pdf] [code]

Zhi Wang and Han-Xiong Li, "Dissimilarity analysis based multimode modeling for complex distributed parameter systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(5): 2789-2797. [pdf]

Zhi Wang, Han-Xiong Li, and Chunlin Chen, "Incremental reinforcement learning in continuous spaces via policy relaxation and importance weighting," IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(6): 1870-1883. [pdf] [code]
Zhi Wang, Han-Xiong Li, and Chunlin Chen, "Reinforcement learning based optimal sensor placement for spatiotemporal modeling," IEEE Transactions on Cybernetics, 2020, 50(6): 2861-2871. [pdf]

Zhi Wang, Chunlin Chen, Han-Xiong Li, Daoyi Dong, and Tzyh-Jong Tarn, "Incremental reinforcement learning with prioritized sweeping for dynamic environments," IEEE-ASME Transactions on Mechatronics, 2019, 24(2): 621-632. [pdf] [code]
Zhi Wang and Han-Xiong Li, "Incremental spatiotemporal learning for online modeling of distributed parameter systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(12): 2612-2622. [pdf]
Zhi Wang, Wei Bi, Yan Wang, and Xiaojiang Liu, "Better fine-tuning via instance weighting for text classification," in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2019, 7241-7248. [pdf] [supp]

Note: *indicates the corresponding author.