Ye-bo Yin on Muck Rack

Ye-bo Yin

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FL-GQL: a fuzzy logic-guided Q-learning algorithm for global path planning of mobile robots in grid environments

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By Long-Zhen Zhang, Yan-Ping Fan, De Rui Zhang, Gui-yan Liu, Zhou-qin Wang, Ye-bo Yin
| Nature Verified
Abstract Traditional Q-learning algorithms often exhibit slow convergence, inefficient exploration, and excessive turning points when applied to global path planning in grid-based environments. To address these limitations, this paper proposes a fuzzy logic-guided Q-learning algorithm (FL-GQL), which integrates heuristic Q-table initialization, hybrid reward shaping, and fuzzy-guided dynamic exploration into a unified learning framework.
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