Dual Sticky Hierarchical Dirichlet Process Hidden Markov Model and Its Application to Natural Language Description of Motions. - Weiming Hu; Guodong Tian; Yongxin Kang; Chunfeng Yuan; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Potential Driven Reinforcement Learning for Hard Exploration Tasks. - Enmin Zhao; Shihong Deng; Yifan Zang 001; Yongxin Kang; Kai Li 022; Junliang Xing (IJCAI, 2020)

Exploration via State influence Modeling. - Yongxin Kang; Enmin Zhao; Kai Li 022; Junliang Xing (AAAI, 2021)

Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Kai Li 022; Junliang Xing (ICONIP (4), 2022)

Pseudo Value Network Distillation for High-Performance Exploration. - Enmin Zhao; Junliang Xing; Kai Li 022; Yongxin Kang; Pin Tao (IJCNN, 2023)

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Lijuan Li 002; Kai Li 022; Pin Tao; Junliang Xing (IEEE Trans. Artif. Intell., 2024)