[1] S. Lin and J. Wan and T. Xu and Y. Liang and J. Zhang, “Model-Based Offline Meta-Reinforcement Learning with Regularization,” Proc. International Conference on Learning Representations (ICLR) 2022, p. 1-22.

[2] Sheng Yue and Guanbo Wang and Wei Shao and Zhaofeng Zhang and Sen Lin and Ju Ren and Junshan Zhang:
“CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning.” Proc. International Conference on Learning Representations (ICLR) 2023, p. 1-23. 

[3] Mehmet Dedeoglu,and Sen Lin and Zhaofeng Zhang and Junshan Zhang, “Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence,” IEEE Transactions on Neural Networks and Learning Systems, 2023.

[4] H. Wang S. Lin and J. Zhang, “Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap,” ICML 2023 (`Oral & poster’).  

[5] Jialin Wan and Sen Lin and Zhaofeng Zhang and Junshan Zhang and Tao Zhang, “Scheduling Real-time Wireless Traffic: A Network-aided Offline Reinforcement Learning Approach,’ “IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2023.3304969.