Yixing Lan

According to our database, Yixing Lan authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Skill Expansion and Composition in Parameter Space.

Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan

CoRR, February, 2025

2024

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction.

Yixing Lan, Xin Xu, Qiang Fang, Jianye Hao

IEEE Trans. Neural Networks Learn. Syst., November, 2024

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.

Hao Gao, Xing Zhou, Xin Xu, Yixing Lan, Yongqian Xiao

IEEE Trans. Neural Networks Learn. Syst., July, 2024

GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation.

Hao Gao, Xin Xu, Chao Yan, Yixing Lan, Kangxing Yao

IEEE Trans. Cogn. Dev. Syst., April, 2024

Deep reinforcement learning using least-squares truncated temporal-difference.

Junkai Ren, Yixing Lan, Xin Xu, Yichuan Zhang, Qiang Fang, Yujun Zeng

CAAI Trans. Intell. Technol., 2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning.

Tenglong Liu, Yang Li, Yixing Lan, Hao Gao, Wei Pan, Xin Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping.

Yixing Lan, Junkai Ren, Tao Tang, Xin Xu, Yifei Shi, Zixin Tang

Robotics Auton. Syst., June, 2023

2022

Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.

Yixing Lan, Xin Xu, Qiang Fang, Yujun Zeng, Xinwang Liu, Xianjian Zhang

Knowl. Based Syst., 2022

2021

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.

Yichuan Zhang, Yixing Lan, Qiang Fang, Xin Xu, Junxiang Li, Yujun Zeng

Comput. Intell. Neurosci., 2021

Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards.

Junkai Ren, Yichuan Zhang, Yujun Zeng, Yixing Lan

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021