Abstract: In this study, a novel deep reinforcement learning (DRL) algorithm is proposed to deal with the weapon target assignment (WTA) problem, which takes the unmanned aerial vehicle (UAV) safety ...
Abstract: Ising machines are efficient solvers for combinatorial optimization problems (COPs). After mapping COPs to Quadratic Unconstrained Binary Optimization (QUBO) problems, Ising machines search ...