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Target assignment is an important yet difficult problem in air combat. Previous methods, e.g., neural network, genetic algorithm, particle swarm optimization and ant colony algorithm for target assignment have been proved to be either too slow or not stable as far as converging to the global optimum is concerned. In this paper, Q-learning is verified to be an appropriate reinforcement learning algorithm...