Author

Zijie Xu

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#machine learning Preprint Oct 2026

Common-Mode Errors Limit Low-Timestep Deep Spiking Q-Networks

This work finds that low-timestep DSQNs suffer disproportionately from common-mode errors shared across action values, which are particularly detrimental to temporal-difference learning through bootstrapped targets, and proposes Common-Mode Compensation Deep Spiking Q-Network (CMC-DSQN), which uses an auxiliary ANN to...

Zi-Jie Xu, Bing-Rui Guo, Yi-Ding Sun et al. · 0 citations

Preprint Jul 2026

SpikingMOT: A Spike-Driven Multi-Object Tracker

SpikingMOT is proposed as a spike-driven tracker that adaptively models sparse trajectory dynamics with spiking neural networks (SNNs) and brings SNNs into MOT, opening a promising direction for efficient tracking.

Yiding Sun, Xiangyang Yang, Dongxu Zhang et al. · 1 citation