Adaptive Planning for Multiple UAVs with In-Flight Refueling
To enable real-time computation, a heuristic-based solver framework is developed: an extended sequential greedy algorithm provides a quick baseline, while a reinforcement learning approach using an attention model and long short-term memory aims to overcome the local optimality of the greedy method.