Increasingly Cautious Optimism for Practical PAC-MDP Exploration. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (IJCAI, 2015)

Success Probability of Exploration: a Concrete Analysis of Learning Efficiency. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (CoRR, 2016)

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. - Guiying Li; Junlong Liu; Chunhui Jiang; Liangpeng Zhang; Minlong Lin; Ke Tang 001 (ISNN (1), 2017)

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (NIPS, 2017)

Explicit Planning for Efficient Exploration in Reinforcement Learning. - Liangpeng Zhang; Ke Tang 001; Xin Yao 001 (NeurIPS, 2019)

Model-based reinforcement learning with small sample size. - Liangpeng Zhang (2021)

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)