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Attention Based Communication and Control for Multi-UAV Path Planning
Inspired by the multi-head attention (MHA) mechanism in natural language processing, this letter proposes an iterative single-head attention (ISHA) mechanism for multi-UAV path planning.
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
Therefore, the federated learning (FL) approach which can share the model parameters of NNs at drones, is proposed with NN based MFG to satisfy the required conditions.
Remote UAV Online Path Planning via Neural Network Based Opportunistic Control
This letter proposes a neural network (NN) aided remote unmanned aerial vehicle (UAV) online control algorithm, coined oHJB.
Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach
Afterwards, each UAV can control its acceleration by locally solving two partial differential equations (PDEs), known as the Hamilton-Jacobi-Bellman (HJB) and Fokker-Planck-Kolmogorov (FPK) equations.
