A transformer-based soft actor-critic RL policy guides overlapping coalition updates in a potential game for heterogeneous AAV task allocation, yielding 39.76% lower generalized logistics cost than heuristic baselines in 32-AAV/80-task simulations.
Holistic service pro visioning in a UAV -UGV integrated network for last -mile delivery,
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Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach
A transformer-based soft actor-critic RL policy guides overlapping coalition updates in a potential game for heterogeneous AAV task allocation, yielding 39.76% lower generalized logistics cost than heuristic baselines in 32-AAV/80-task simulations.