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 001 (IEEE Access, 2020)

Bias-reduced multi-step hindsight experience replay. - Rui Yang 010; Jiafei Lyu; Yu Yang 015; Jiangpeng Yan; Feng Luo; Dijun Luo; Lanqing Li; Xiu Li 001 (CoRR, 2021)

Efficient Continuous Control with Double Actors and Regularized Critics. - Jiafei Lyu; Xiaoteng Ma; Jiangpeng Yan; Xiu Li 001 (AAAI, 2022)

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. - Jiafei Lyu; Xiu Li 001; Zongqing Lu 002 (NeurIPS, 2022)

Mildly Conservative Q-Learning for Offline Reinforcement Learning. - Jiafei Lyu; Xiaoteng Ma; Xiu Li 001; Zongqing Lu 002 (NeurIPS, 2022)

PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control. - Xihui Li; Zhongjian Qiao; Aicheng Gong; Jiafei Lyu; ChengHui Yu; Jiangpeng Yan; Xiu Li 001 (PRICAI (3), 2022)

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. - Junjie Zhang; Jiafei Lyu; Xiaoteng Ma; Jiangpeng Yan; Jun Yang 028; Le Wan; Xiu Li 001 (ECAI, 2023)

State Advantage Weighting for Offline RL. - Jiafei Lyu; Aicheng Gong; Le Wan; Zongqing Lu 002; Xiu Li 001 (Tiny Papers @ ICLR, 2023)

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning. - Junjie Zhang; Jiafei Lyu; Xiaoteng Ma; Jiangpeng Yan; Jun Yang 028; Le Wan; Xiu Li 001 (CoRR, 2023)

Zero-shot Preference Learning for Offline RL via Optimal Transport. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (CoRR, 2023)

The primacy bias in Model-based RL. - Zhongjian Qiao; Jiafei Lyu; Xiu Li 001 (CoRR, 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 001 (CoRR, 2023)

Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients. - Jiafei Lyu; Yu Yang 015; Jiangpeng Yan; Xiu Li 001 (Neurocomputing, 2023)

Normalization Enhances Generalization in Visual Reinforcement Learning. - Lu Li; Jiafei Lyu; Guozheng Ma; Zilin Wang; Zhenjie Yang; Xiu Li 001; Zhiheng Li 001 (AAMAS, 2024)

Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (AAMAS, 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 001 (CVPR, 2024)

Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL. - Zhongjian Qiao; Jiafei Lyu; Xiu Li 001 (ECAI, 2024)

Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. - Shengjie Sun; Jiafei Lyu; Lu Li; Jiazhe Guo; Mengbei Yan; Runze Liu 002; Xiu Li 001 (ICANN (4), 2024)

SEABO: A Simple Search-Based Method for Offline Imitation Learning. - Jiafei Lyu; Xiaoteng Ma; Le Wan; Runze Liu 002; Xiu Li 001; Zongqing Lu 002 (ICLR, 2024)

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (ICML, 2024)

Cross-Domain Policy Adaptation by Capturing Representation Mismatch. - Jiafei Lyu; Chenjia Bai; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICML, 2024)

Exploration and Anti-Exploration with Distributional Random Network Distillation. - Kai Yang; Jian Tao; Jiafei Lyu; Xiu Li 001 (ICML, 2024)

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. - Jiafei Lyu; Kang Xu; Jiacheng Xu 003; Mengbei Yan; Jingwen Yang; Zongzhang Zhang; Chenjia Bai; Zongqing Lu 002; Xiu Li 001 (NeurIPS, 2024)

A two-stage reinforcement learning-based approach for multi-entity task allocation. - Aicheng Gong; Kai Yang; Jiafei Lyu; Xiu Li 001 (Eng. Appl. Artif. Intell., 2024)

Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (Inf. Sci., 2024)

Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. - Jiafei Lyu; Le Wan; Xiu Li 001; Zongqing Lu 002 (J. Artif. Intell. Res., 2024)

Enhancing visual reinforcement learning with State-Action Representation. - Mengbei Yan; Jiafei Lyu; Xiu Li 001 (Knowl. Based Syst., 2024)

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning. - Yangkun Chen; Kai Yang; Jian Tao; Jiafei Lyu (AAAI, 2025)

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. - Zhongjian Qiao; Jiafei Lyu; Kechen Jiao; Qi Liu; Xiu Li 001 (AAAI, 2025)

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. - Jiafei Lyu; Mengbei Yan; Zhongjian Qiao; Runze Liu 002; Xiaoteng Ma; Deheng Ye; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICLR, 2025)

Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning. - Zeyuan Liu; Zhirui Fang; Jiafei Lyu; Xiu Li 001 (AAMAS, 2025)

CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning. - Zeyuan Liu; Kai Yang; Jiafei Lyu; Xiu Li 001 (AAMAS, 2025)

World Models with Hints of Large Language Models for Goal Achieving. - Zeyuan Liu; Ziyu Huan; Xiyao Wang; Jiafei Lyu; Jian Tao; Xiu Li 001; Furong Huang; Huazhe Xu (NAACL (Long Papers), 2025)

A large language model-driven reward design framework via dynamic feedback for reinforcement learning. - Shengjie Sun; Runze Liu 002; Jiafei Lyu; Jingwen Yang; Liangpeng Zhang; Xiu Li 001 (Knowl. Based Syst., 2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation. - Runze Liu 002; Chenjia Bai; Jiafei Lyu; Shengjie Sun; Yali Du 001; Xiu Li 001 (CoRR, 2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Jian Zhao; Runze Liu 002; Kaiyan Zhang; Zhimu Zhou; Junqi Gao; Dong Li 016; Jiafei Lyu; Zhouyi Qian; Biqing Qi; Xiu Li 001; Bowen Zhou 002 (CoRR, 2025)

Exploration by Random Distribution Distillation. - Zhirui Fang; Kai Yang; Jian Tao; Jiafei Lyu; Lusong Li; Li Shen; Xiu Li 001 (CoRR, 2025)

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning. - Zeyuan Liu; Zhihe Yang; Jiawei Xu; Rui Yang 010; Jiafei Lyu; Baoxiang Wang 001; Yunjian Xu; Xiu Li 001 (CoRR, 2025)