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Fan-Ming Luo
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Journal Articles
- 2024
- [j3]Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu:
A survey on model-based reinforcement learning. Sci. China Inf. Sci. 67(2) (2024) - 2023
- [j2]Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye:
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15260-15274 (2023) - 2022
- [j1]Yi-Feng Zhang, Fan-Ming Luo, Yang Yu:
Improve generated adversarial imitation learning with reward variance regularization. Mach. Learn. 111(3): 977-995 (2022)
Conference and Workshop Papers
- 2024
- [c4]Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu:
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. ICLR 2024 - [c3]Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu:
Limited Preference Aided Imitation Learning from Imperfect Demonstrations. ICML 2024 - 2022
- [c2]Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang:
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. AAAI 2022: 7637-7646 - 2021
- [c1]Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye:
Offline Model-based Adaptable Policy Learning. NeurIPS 2021: 8432-8443
Informal and Other Publications
- 2024
- [i5]Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu:
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate. CoRR abs/2405.15384 (2024) - 2023
- [i4]Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu:
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. CoRR abs/2310.05422 (2023) - 2022
- [i3]Fan-Ming Luo, Xingchen Cao, Yang Yu:
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble. CoRR abs/2206.00238 (2022) - [i2]Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu:
A Survey on Model-based Reinforcement Learning. CoRR abs/2206.09328 (2022) - [i1]Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu:
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. CoRR abs/2208.09452 (2022)
Coauthor Index
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