Jiafei Lyu - RankMe

66 papers A* 14A 6Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Domain Offline Policy Adaptation via Selective Transition Correction. CoRR Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li
2026	A*	`conf`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. AAAI Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2026	J	`jnl`	Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting. CoRR Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu
2026	J	`jnl`	ProAct: Agentic Lookahead in Interactive Environments. CoRR Yangbin Yu, Mingyu Yang, Junyou Li, Yiming Gao, Feiyu Liu, Yijun Yang, Zichuan Lin, Jiafei Lyu, Yicheng Liu, Zhicong Lu, Deheng Ye, Jie Jiang
2026	J	`jnl`	Temporal Difference Learning with Constrained Initial Representations. CoRR Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li
2026	J	`jnl`	UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience. CoRR Zichuan Lin, Feiyu Liu, Yijun Yang, Jiafei Lyu, Yiming Gao, Yicheng Liu, Zhicong Lu, Yangbin Yu, Mingyu Yang, Junyou Li, Deheng Ye, Jie Jiang
2025	J	`jnl`	A large language model-driven reward design framework via dynamic feedback for reinforcement learning. Knowl. Based Syst. Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li
2025	J	`jnl`	ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning. CoRR Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li
2025	A	`conf`	CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning. AAMAS Zeyuan Liu, Kai Yang, Jiafei Lyu, Xiu Li
2025	J	`jnl`	Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Chenjia Bai, Xiu Li, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	A*	`conf`	Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. ICLR Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li
2025	J	`jnl`	Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	J	`jnl`	EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control. CoRR Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang
2025	J	`jnl`	Exploration by Random Distribution Distillation. CoRR Zhirui Fang, Kai Yang, Jian Tao, Jiafei Lyu, Lusong Li, Li Shen, Xiu Li
2025	J	`jnl`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. CoRR Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2025	A	`conf`	Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning. AAMAS Zeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li
2025	A*	`conf`	Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning. AAAI Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu
2025	J	`jnl`	PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning. CoRR Shengjie Sun, Jiafei Lyu, Runze Liu, Mengbei Yan, Bo Liu, Deheng Ye, Xiu Li
2025	A*	`conf`	SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. AAAI Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li
2025	A*	`conf`	VLP: Vision-Language Preference Learning for Embodied Manipulation. EMNLP Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025	J	`jnl`	VLP: Vision-Language Preference Learning for Embodied Manipulation. CoRR Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025	—	`conf`	World Models with Hints of Large Language Models for Goal Achieving. NAACL (Long Papers) Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
2024	J	`jnl`	A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning. CoRR Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li
2024	J	`jnl`	A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation. CoRR Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li
2024	J	`jnl`	A two-stage reinforcement learning-based approach for multi-entity task allocation. Eng. Appl. Artif. Intell. Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li
2024	A*	`conf`	Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024	J	`jnl`	Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
2024	—	`conf`	Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. ICANN (4) Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li
2024	J	`jnl`	Enhancing visual reinforcement learning with State-Action Representation. Knowl. Based Syst. Mengbei Yan, Jiafei Lyu, Xiu Li
2024	A*	`conf`	Exploration and Anti-Exploration with Distributional Random Network Distillation. ICML Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li
2024	J	`jnl`	Exploration and Anti-Exploration with Distributional Random Network Distillation. CoRR Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li
2024	A	`conf`	Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL. ECAI Zhongjian Qiao, Jiafei Lyu, Xiu Li
2024	A	`conf`	Normalization Enhances Generalization in Visual Reinforcement Learning. AAMAS Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
2024	J	`jnl`	Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning. CoRR Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu
2024	A*	`conf`	ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. NeurIPS Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024	J	`jnl`	ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024	J	`jnl`	Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. Inf. Sci. Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024	A*	`conf`	PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. ICML Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2024	A*	`conf`	SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024	J	`jnl`	SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024	J	`jnl`	SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. CoRR Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li
2024	A	`conf`	Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024	J	`jnl`	Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024	J	`jnl`	Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. J. Artif. Intell. Res. Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024	A*	`conf`	Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CVPR Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li
2024	J	`jnl`	World Models with Hints of Large Language Models for Goal Achieving. CoRR Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
2023	J	`jnl`	Normalization Enhances Generalization in Visual Reinforcement Learning. CoRR Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
2023	J	`jnl`	Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li
2023	—	`conf`	State Advantage Weighting for Offline RL. Tiny Papers @ ICLR Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2023	J	`jnl`	The primacy bias in Model-based RL. CoRR Zhongjian Qiao, Jiafei Lyu, Xiu Li
2023	A	`conf`	Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. ECAI Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
2023	J	`jnl`	Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning. CoRR Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
2023	J	`jnl`	Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CoRR Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li
2023	J	`jnl`	Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients. Neurocomputing Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li
2023	J	`jnl`	Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2022	A*	`conf`	Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS Jiafei Lyu, Xiu Li, Zongqing Lu
2022	J	`jnl`	Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR Jiafei Lyu, Xiu Li, Zongqing Lu
2022	A*	`conf`	Efficient Continuous Control with Double Actors and Regularized Critics. AAAI Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li
2022	A*	`conf`	Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
2022	J	`jnl`	Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
2022	—	`conf`	PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control. PRICAI (3) Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li
2022	J	`jnl`	State Advantage Weighting for Offline RL. CoRR Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2021	J	`jnl`	Bias-reduced multi-step hindsight experience replay. CoRR Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
2021	J	`jnl`	Efficient Continuous Control with Double Actors and Regularized Critics. CoRR Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li
2021	J	`jnl`	Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients. CoRR Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li
2020	J	`jnl`	Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications - A Systemic Review. IEEE Access Chao Lu, Jiafei Lyu, Liming Zhang, Aicheng Gong, Yipeng Fan, Jiangpeng Yan, Xiu Li