Monotonic Robust Policy Optimization with Model Discrepancy. - Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ICML, 2021)

Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning. - Zhuoqun Liu; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (BMVC, 2022)

Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning. - Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 2022)

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning. - Yuankun Jiang; Nuowen Kan; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (NeurIPS, 2023)

Adversarially Robust Neural Lyapunov Control. - Li Wei; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ECAI, 2024)

Deep Reinforcement Learning-Based Camera Autofocus with Gaussian Process Regression. - Li Wei; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (VCIP, 2024)

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences. - Kexin Tang; Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2024)

Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient. - Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning. - Shouhang Zhu; Chenglin Li; Yuankun Jiang; Li Wei; Nuowen Kan; Ziyang Zheng; Wenrui Dai; Junni Zou; Hongkai Xiong (CVPR, 2025)