Jiafei Lyu

According to our database, Jiafei Lyu authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

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

Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

CoRR, 2024

Exploration and Anti-Exploration with Distributional Random Network Distillation.

Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li

CoRR, 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