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Jiafei Lyu
18 papers at tracked venues · 11 at CORE A* · active 2024–2026
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Venues
AAMAS
×4
AAAI
×3
ICML
×3
ICLR
×2
NeurIPS
×2
CVPR
×1
ECAI
×1
EMNLP
×1
NAACL
×1
Frequent coauthors
Xiu Li
×17
Runze Liu
×5
Zongqing Lu
×5
Zeyuan Liu
×4
Jian Tao
×4
Kai Yang
×3
Zhongjian Qiao
×3
Jingwen Yang
×3
Chenjia Bai
×3
Mengbei Yan
×2
Xiaoteng Ma
×2
Yali Du
×2
Papers
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
BibTeX ⧉
AAAI 2026
·
Jian Zhao
,
Runze Liu
,
Kaiyan Zhang
,
Zhimu Zhou
,
Junqi Gao
,
Dong Li
,
Jiafei Lyu
,
Zhouyi Qian
,
Biqing Qi
,
Xiu Li
,
Bowen Zhou
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
BibTeX ⧉
NeurIPS 2025
·
Zeyuan Liu
,
Zhihe Yang
,
Jiawei Xu
,
Rui Yang
,
Jiafei Lyu
,
Baoxiang Wang
,
Yunjian Xu
,
Xiu Li
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning
BibTeX ⧉
AAMAS 2025
·
Zeyuan Liu
,
Kai Yang
,
Jiafei Lyu
,
Xiu Li
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
BibTeX ⧉
ICLR 2025
·
Jiafei Lyu
,
Mengbei Yan
,
Zhongjian Qiao
,
Runze Liu
,
Xiaoteng Ma
,
Deheng Ye
,
Jingwen Yang
,
Zongqing Lu
,
Xiu Li
Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning
BibTeX ⧉
AAMAS 2025
·
Zeyuan Liu
,
Zhirui Fang
,
Jiafei Lyu
,
Xiu Li
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
BibTeX ⧉
AAAI 2025
·
Yangkun Chen
,
Kai Yang
,
Jian Tao
,
Jiafei Lyu
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
BibTeX ⧉
AAAI 2025
·
Zhongjian Qiao
,
Jiafei Lyu
,
Kechen Jiao
,
Qi Liu
,
Xiu Li
VLP: Vision-Language Preference Learning for Embodied Manipulation
BibTeX ⧉
EMNLP 2025
·
Runze Liu
,
Chenjia Bai
,
Jiafei Lyu
,
Shengjie Sun
,
Yali Du
,
Xiu Li
World Models with Hints of Large Language Models for Goal Achieving
BibTeX ⧉
NAACL 2025
·
Zeyuan Liu
,
Ziyu Huan
,
Xiyao Wang
,
Jiafei Lyu
,
Jian Tao
,
Xiu Li
,
Furong Huang
,
Huazhe Xu
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
BibTeX ⧉
ICML 2024
·
Jiafei Lyu
,
Chenjia Bai
,
Jingwen Yang
,
Zongqing Lu
,
Xiu Li
Exploration and Anti-Exploration with Distributional Random Network Distillation
BibTeX ⧉
ICML 2024
·
Kai Yang
,
Jian Tao
,
Jiafei Lyu
,
Xiu Li
Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL
BibTeX ⧉
ECAI 2024
·
Zhongjian Qiao
,
Jiafei Lyu
,
Xiu Li
Normalization Enhances Generalization in Visual Reinforcement Learning
BibTeX ⧉
AAMAS 2024
·
Lu Li
,
Jiafei Lyu
,
Guozheng Ma
,
Zilin Wang
,
Zhenjie Yang
,
Xiu Li
,
Zhiheng Li
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
BibTeX ⧉
NeurIPS 2024
·
Jiafei Lyu
,
Kang Xu
,
Jiacheng Xu
,
Mengbei Yan
,
Jingwen Yang
,
Zongzhang Zhang
,
Chenjia Bai
,
Zongqing Lu
,
Xiu Li
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
BibTeX ⧉
ICML 2024
·
Runze Liu
,
Yali Du
,
Fengshuo Bai
,
Jiafei Lyu
,
Xiu Li
SEABO: A Simple Search-Based Method for Offline Imitation Learning
BibTeX ⧉
ICLR 2024
·
Jiafei Lyu
,
Xiaoteng Ma
,
Le Wan
,
Runze Liu
,
Xiu Li
,
Zongqing Lu
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning
BibTeX ⧉
AAMAS 2024
·
Jiafei Lyu
,
Le Wan
,
Xiu Li
,
Zongqing Lu
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
BibTeX ⧉
CVPR 2024
·
Kai Yang
,
Jian Tao
,
Jiafei Lyu
,
Chunjiang Ge
,
Jiaxin Chen
,
Weihan Shen
,
Xiaolong Zhu
,
Xiu Li