Author

Zijie Xu

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#machine learning Preprint Oct 2026

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

Spiking neural networks (SNNs) offer sparse and event-driven computation, making them attractive for energy-constrained reinforcement learning (RL) on edge devices. In value-based RL, deep spiking Q-networks (DSQNs) combine such efficiency with action-value estimation for decision making. However, existing DSQNs often...

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