|
Zhiqiang He (何志强) I am currently a Ph.D. student at University of Electro-Communications (Tokyo), focusing on Reinforcement Learning and it's application. I received M.S. from Northeastern University, where I was advised by Professor Jiao Wang. I interned as a Research Engineer at Baidu Beijing from June to September 2021 (Received Super Special Offer), followed by a role as a Reinforcement Learning Algorithms Engineer at InspirAI from June 2022 to May 2023 (Received Top-Performing Team Prize). Email / CV / Google Scholar / Github / Zhihu / |
|
Academic ActivitiesServed as a peer reviewer for IEEE Transactions on Network Science and Engineering; IEEE Internet of Things Journal; IEEE Open Journal of the Computer Society. |
Publication / Preprint |
|
Understanding World Models through Multi-Step Pruning Policy via Reinforcement Learning Zhiqiang He, Wen Qiu, Wei Zhao, Xun Shao, Zhi Liu Information Sciences, 2025. (IF=8.1, Q1) Source Code | Download PDF Parallel Multi-Step Pruning Policies enhance diversity Sampling. (Analysis of convergence theory for MSPP and its PG Theorem.) |
|
Erlang planning network: An iterative model-based reinforcement learning with multi-perspective Jiao Wang, Lemin Zhang, Zhiqiang He, Can Zhu, Zihui Zhao Pattern Recognition, 2022. (IF=8.5, Q1) Source Code | Download PDF Bi-level reinforcement learning in Model-Based Reinforcement Learning. |
|
Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning Pengzhan Chen, Zhiqiang He, Chuanxi Chen, Jiahong Xu Algorithms, 2018 Source Code | Download PDF (Cited 53 times) First paper applied Reinforcement Learning in Jump Speed Servo System. |
|
|