Jiafei Lyu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 31

Top Topics

State Action Space

Reinforcement Learning

Diffusion Models

Empirical Evidence

Top Venues

Eng. Appl. Artif. Intell.

Publications

Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li
A two-stage reinforcement learning-based approach for multi-entity task allocation. Eng. Appl. Artif. Intell. 136 (2024)
Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation. CoRR (2024)
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. Inf. Sci. 666 (2024)
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR (2024)
Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
World Models with Hints of Large Language Models for Goal Achieving. CoRR (2024)
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS (2024)
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR (2024)
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR (2024)
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR (2024)
Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li
Exploration and Anti-Exploration with Distributional Random Network Distillation. CoRR (2024)
Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
Normalization Enhances Generalization in Visual Reinforcement Learning. AAMAS (2024)
Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CoRR (2023)
Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning. CoRR (2023)
Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li
Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients. Neurocomputing 518 (2023)
Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. ECAI (2023)
Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR (2023)
Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
Normalization Enhances Generalization in Visual Reinforcement Learning. CoRR (2023)
Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR (2023)
Zhongjian Qiao, Jiafei Lyu, Xiu Li
The primacy bias in Model-based RL. CoRR (2023)
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR (2023)
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR (2022)
Jiafei Lyu, Xiu Li, Zongqing Lu
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS (2022)
Jiafei Lyu, Xiu Li, Zongqing Lu
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR (2022)
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS (2022)
Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li
PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control. PRICAI (3) (2022)
Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li
Efficient Continuous Control with Double Actors and Regularized Critics. AAAI (2022)
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
State Advantage Weighting for Offline RL. CoRR (2022)
Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients. CoRR (2021)
Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li
Efficient Continuous Control with Double Actors and Regularized Critics. CoRR (2021)
Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
Bias-reduced multi-step hindsight experience replay. CoRR (2021)
Chao Lu, Jiafei Lyu, Liming Zhang, Aicheng Gong, Yipeng Fan, Jiangpeng Yan, Xiu Li
Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications - A Systemic Review. IEEE Access 8 (2020)