Yu-Ren Liu

According to our database, Yu-Ren Liu authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms.

Yu-Ren Liu, Xiong-Hui Chen, Siyuan Xiao, Xinyu Yang, Xintong Qi, Linjun Zhou, Yang Yu, Fangsheng Huang

Mach. Learn., December, 2025

Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization.

Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu

IEEE Trans. Neural Networks Learn. Syst., September, 2025

2023

Learning World Models with Identifiable Factorization.

Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang

CoRR, 2023

Beware of Instantaneous Dependence in Reinforcement Learning.

Zheng-Mao Zhu, Yu-Ren Liu, Hong-Long Tian, Yang Yu, Kun Zhang

CoRR, 2023

2022

ZOOpt: a toolbox for derivative-free optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu

Sci. China Inf. Sci., 2022

Invariant Action Effect Model for Reinforcement Learning.

Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sparsity Prior Regularized Q-learning for Sparse Action Tasks.

Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu

CoRR, 2021

2019

Asynchronous classification-based optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

2018

ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian

CoRR, 2018