Author

Liang-Ching Tao

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#artificial intelligence Preprint Sep 2026

Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging

LP-BTS is a learning-guided planning architecture that exceeds a deadline heuristic and two source-derived direct-policy reconstructions on every paired scenario, and provides controlled evidence about learning-guided planning in a large, dynamic action space.

Liang-Ching Tao, Pi-Chung Wang · 0 citations

#machine learning Preprint Sep 2026

HQARRF: Hierarchical Q-learning and Force-aware Routing for Multi-Charger Scheduling in Wireless Rechargeable Sensor Networks

Multi-charger scheduling in wireless rechargeable sensor networks must weigh sensor death risk, charger energy, travel cost, return-to-base feasibility and inter-charger coordination at once, and schedulers driven by local urgency alone duplicate service and leave whole regions unattended. We present HQARRF, a two-leve...

Liang-Ching Tao, Pi-Chung Wang · 1 citation