Author

Qi Wang

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Open access Oct 2026

Multi-Agent Path Planning Based on Coulomb’s Law and PER-MADDPG

Multi-agent path planning remains a challenging problem in deep reinforcement learning due to inefficient coordination, excessive exploration, and unstable training dynamics. Although Multi-Agent Deep Deterministic Policy Gradient (MADDPG) has been widely adopted for cooperative decision-making tasks, its performance i...

Fei-Fan Fang, Guo-Liang Jing, Qi Wang et al. · Applied Sciences · 0 citations

Preprint Aug 2026

E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Models

A spatial novelty constraint is introduced that promotes coverage of distinct image regions and prevents the retained tokens from concentrating in a few locally salient areas and prevents the retained tokens from concentrating in a few locally salient areas in E2S-Pruner.

Taoyu Qian, Qi Wang, D. Shi et al. · 1 citation