Things I've written down.

Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming

Zhiqiang He, Zhi Liu

We address plasticity loss in mixture-of-experts under QoE shifts in adaptive video streaming, with theoretical justification and large-scale empirical validation.

DiPerceiveNet: A bidirectional cross-scale perception network for vehicle re-identification

Jihao Cai, Zhiqiang He, Zhi Liu, Yangjie Cao

Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment

Leizhen Wang, Peibo Duan, Cheng Lyu, Zewen Wang, Zhiqiang He, Nan Zheng, Zhenliang Ma

A Survey on DRL based UAV Communications and Networking: DRL Fundamentals, Applications and Implementations

Wei Zhao, Shaoxin Cui, Wen Qiu^*, Zhiqiang He^*, Zhi Liu, Xiao Zheng, Bomin Mao, Nei Kato

This survey traces the evolution of fundamental reinforcement learning theory and shows how core challenges have driven new methods, applied to UAV communications and networking.

Understanding World Models through Multi-Step Pruning Policy via Reinforcement Learning

Zhiqiang He, Wen Qiu, Wei Zhao, Xun Shao, Zhi Liu

Parallel multi-step pruning policies enhance diversity sampling, with convergence analysis for MSPP and a corresponding policy gradient theorem.

Erlang Planning Network: An iterative model-based reinforcement learning with multi-perspective

Jiao Wang, Lemin Zhang, Zhiqiang He, Can Zhu, Zihui Zhao

Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning

Pengzhan Chen, Zhiqiang He, Chuanxi Chen, Jiahong Xu