Offline Model-based Adaptable Policy Learning. - Xiong-Hui Chen; Yang Yu 001; Qingyang Li; Fan-Ming Luo; Zhiwei (Tony) Qin; Wenjie Shang; Jieping Ye (NeurIPS, 2021)

Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. - Fan-Ming Luo; Shengyi Jiang; Yang Yu 001; Zongzhang Zhang; Yi-Feng Zhang (AAAI, 2022)

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble. - Fan-Ming Luo; Xingchen Cao; Yang Yu 001 (CoRR, 2022)

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. - Rong-Jun Qin; Fan-Ming Luo; Hong Qian; Yang Yu 001 (CoRR, 2022)

Improve generated adversarial imitation learning with reward variance regularization. - Yi-Feng Zhang; Fan-Ming Luo; Yang Yu 001 (Mach. Learn., 2022)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Xiong-Hui Chen; Fan-Ming Luo; Yang Yu 001; Qingyang Li; Zhiwei Qin 001; Wenjie Shang; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. - Fan-Ming Luo; Tian Xu 003; Xingchen Cao; Yang Yu 001 (ICLR, 2024)

Limited Preference Aided Imitation Learning from Imperfect Demonstrations. - Xingchen Cao; Fan-Ming Luo; Junyin Ye; Tian Xu 003; Zhilong Zhang; Yang Yu 001 (ICML, 2024)

Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate. - Fan-Ming Luo; Zuolin Tu; Zefang Huang; Yang Yu 001 (NeurIPS, 2024)

A survey on model-based reinforcement learning. - Fan-Ming Luo; Tian Xu 003; Hang Lai; Xiong-Hui Chen; Weinan Zhang 001; Yang Yu 001 (Sci. China Inf. Sci., 2024)