Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards. - Junkai Ren; Yichuan Zhang; Yujun Zeng; Yixing Lan (RCAR, 2021)

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction. - Yichuan Zhang; Yixing Lan; Qiang Fang 001; Xin Xu 001; Junxiang Li; Yujun Zeng (Comput. Intell. Neurosci., 2021)

Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees. - Yixing Lan; Xin Xu 001; Qiang Fang 001; Yujun Zeng; Xinwang Liu 002; Xianjian Zhang (Knowl. Based Syst., 2022)

Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping. - Yixing Lan; Junkai Ren; Tao Tang; Xin Xu 001; Yifei Shi; Zixin Tang (Robotics Auton. Syst., 2023)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning. - Tenglong Liu; Yang Li 116; Yixing Lan; Hao Gao 014; Wei Pan 004; Xin Xu 001 (ICML, 2024)

Deep reinforcement learning using least-squares truncated temporal-difference. - Junkai Ren; Yixing Lan; Xin Xu 001; Yichuan Zhang; Qiang Fang 001; Yujun Zeng (CAAI Trans. Intell. Technol., 2024)

GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation. - Hao Gao 014; Xin Xu 001; Chao Yan; Yixing Lan; Kangxing Yao (IEEE Trans. Cogn. Dev. Syst., 2024)

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem. - Hao Gao 014; Xing Zhou 004; Xin Xu 001; Yixing Lan; Yongqian Xiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction. - Yixing Lan; Xin Xu 001; Qiang Fang 001; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Skill Expansion and Composition in Parameter Space. - Tenglong Liu; Jianxiong Li; Yinan Zheng; Haoyi Niu; Yixing Lan; Xin Xu; Xianyuan Zhan (ICLR, 2025)

SMART: Sequential Multiagent Reinforcement Learning With Role Assignment Using Transformer. - Yixing Lan; Hao Gao 014; Xin Xu 001; Qiang Fang 001; Yujun Zeng (IEEE Trans. Cogn. Dev. Syst., 2025)

Game-Theoretic Constrained Policy Optimization for Safe Reinforcement Learning. - Changxin Zhang; Xinglong Zhang; Yixing Lan; Hao Gao 014; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)