Jiafei Lyu

According to our database, Jiafei Lyu authored at least 38 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning.

Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li

CoRR, May, 2025

Exploration by Random Distribution Distillation.

Zhirui Fang, Kai Yang, Jian Tao, Jiafei Lyu, Lusong Li, Li Shen, Xiu Li

CoRR, May, 2025

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.

Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou

CoRR, April, 2025

VLP: Vision-Language Preference Learning for Embodied Manipulation.

Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li

CoRR, February, 2025

A large language model-driven reward design framework via dynamic feedback for reinforcement learning.

Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li

Knowl. Based Syst., 2025

World Models with Hints of Large Language Models for Goal Achieving.

Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning.

Zeyuan Liu, Kai Yang, Jiafei Lyu, Xiu Li

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning.

Zeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint.

Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning.

Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning.

Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing visual reinforcement learning with State-Action Representation.

Mengbei Yan, Jiafei Lyu, Xiu Li

Knowl. Based Syst., 2024

Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.

Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

J. Artif. Intell. Res., 2024

Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse.

Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

Inf. Sci., 2024

A two-stage reinforcement learning-based approach for multi-entity task allocation.

Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li

Eng. Appl. Artif. Intell., 2024

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning.

Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploration and Anti-Exploration with Distributional Random Network Distillation.

Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cross-Domain Policy Adaptation by Capturing Representation Mismatch.

Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SEABO: A Simple Search-Based Method for Offline Imitation Learning.

Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation.

Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL.

Zhongjian Qiao, Jiafei Lyu, Xiu Li

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model.

Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.

Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Normalization Enhances Generalization in Visual Reinforcement Learning.

Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients.

Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li

Neurocomputing, 2023

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model.

Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li

CoRR, 2023

The primacy bias in Model-based RL.

Zhongjian Qiao, Jiafei Lyu, Xiu Li

CoRR, 2023

Zero-shot Preference Learning for Offline RL via Optimal Transport.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

CoRR, 2023

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning.

Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li

CoRR, 2023

State Advantage Weighting for Offline RL.

Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.

Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.

Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Mildly Conservative Q-Learning for Offline Reinforcement Learning.

Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination.

Jiafei Lyu, Xiu Li, Zongqing Lu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Continuous Control with Double Actors and Regularized Critics.

Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bias-reduced multi-step hindsight experience replay.

Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li

CoRR, 2021

2020

Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications - A Systemic Review.

Chao Lu, Jiafei Lyu, Liming Zhang, Aicheng Gong, Yipeng Fan, Jiangpeng Yan, Xiu Li

IEEE Access, 2020