Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback. - Rongshun Juan; Jie Huang; Randy Gomez; Keisuke Nakamura; Qixin Sha; Bo He 002; Guangliang Li (IROS, 2021)

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. - Jie Huang; Rongshun Juan; Randy Gomez; Keisuke Nakamura; Qixin Sha; Bo He 002; Guangliang Li (CoRR, 2021)

Transferring policy of deep reinforcement learning from simulation to reality for robotics. - Hao Ju; Rongshun Juan; Randy Gomez; Keisuke Nakamura; Guangliang Li (Nat. Mac. Intell., 2022)

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. - Jie Huang; Jiangshan Hao; Rongshun Juan; Randy Gomez; Keisuke Nakamura; Guangliang Li (ICRA, 2023)

Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model. - Rongshun Juan; Hao Ju; Jie Huang; Randy Gomez; Keisuke Nakamura; Guangliang Li (ICRA, 2023)

Model-based Adversarial Imitation Learning from Demonstrations and Human Reward. - Jie Huang; Jiangshan Hao; Rongshun Juan; Randy Gomez; Keisuke Nakarnura; Guangliang Li (IROS, 2023)

AD-RRT*: An RRT*-based global path planning approach for underwater gliders with alpha shapes and DBSCAN. - Yang Li; Rongshun Juan; Yatao Zhou; Tianshu Wang; Zezhong Li; Wei Guo 026; Zhongke Gao (Expert Syst. Appl., 2025)

End-to-end autonomous underwater vehicle path following control method based on improved soft actor-critic for deep space exploration. - Na Dong; Shoufu Liu; Andrew W. H. Ip; Kai-Leung Yung; Zhongke Gao; Rongshun Juan; Yanhui Wang 001 (J. Ind. Inf. Integr., 2025)