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ORCIDJiafei Lyu
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2020 – today
- 2024
[j6]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: 108906 (2024)- [j5]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: 120371 (2024) - [j4]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. J. Artif. Intell. Res. 81: 1-42 (2024) - [j3]Mengbei Yan, Jiafei Lyu, Xiu Li:
Enhancing visual reinforcement learning with State-Action Representation. Knowl. Based Syst. 304: 112487 (2024) - [c15]Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li:
Normalization Enhances Generalization in Visual Reinforcement Learning. AAMAS 2024: 1137-1146 - [c14]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS 2024: 2369-2371 - [c13]Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li:
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CVPR 2024: 8941-8951 - [c12]Zhongjian Qiao, Jiafei Lyu, Xiu Li:
Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL. ECAI 2024: 1824-1831 - [c11]Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li:
Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. ICANN (4) 2024: 397-411 - [c10]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR 2024 - [c9]Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li:
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. ICML 2024 - [c8]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML 2024 - [c7]Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li:
Exploration and Anti-Exploration with Distributional Random Network Distillation. ICML 2024 - [i19]Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li:
Exploration and Anti-Exploration with Distributional Random Network Distillation. CoRR abs/2401.09750 (2024) - [i18]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR abs/2402.02701 (2024) - [i17]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR abs/2402.03807 (2024) - [i16]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i15]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 abs/2406.07381 (2024) - [i14]Aicheng Gong, Kai Yang, Jiafei Lyu, Xiu Li:
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation. CoRR abs/2407.00496 (2024) - [i13]Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li:
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. CoRR abs/2408.12970 (2024) - 2023
- [j2]Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li:
Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients. Neurocomputing 518: 70-81 (2023) - [c6]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: 3018-3025 - [c5]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR 2023 - [i12]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 abs/2304.04660 (2023) - [i11]Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li:
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR abs/2305.18443 (2023) - [i10]Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li:
Normalization Enhances Generalization in Visual Reinforcement Learning. CoRR abs/2306.00656 (2023) - [i9]Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li:
Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR abs/2306.03615 (2023) - [i8]Zhongjian Qiao, Jiafei Lyu, Xiu Li:
The primacy bias in Model-based RL. CoRR abs/2310.15017 (2023) - [i7]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 abs/2311.13231 (2023) - 2022
- [c4]Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li:
Efficient Continuous Control with Double Actors and Regularized Critics. AAAI 2022: 7655-7663 - [c3]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS 2022 - [c2]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS 2022 - [c1]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: 106-119 - [i6]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR abs/2206.04745 (2022) - [i5]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR abs/2206.07989 (2022) - [i4]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. CoRR abs/2210.04251 (2022) - 2021
- [i3]Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li:
Bias-reduced multi-step hindsight experience replay. CoRR abs/2102.12962 (2021) - [i2]Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li:
Efficient Continuous Control with Double Actors and Regularized Critics. CoRR abs/2106.03050 (2021) - [i1]Jiafei Lyu, Yu Yang, Jiangpeng Yan, Xiu Li:
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients. CoRR abs/2112.11216 (2021) - 2020
- [j1]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: 194315-194332 (2020)
Coauthor Index
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