A Study of Multiagent Reinforcement Learning based on Quantum Theory

In this paper, we present a novel Multiagent Reinforcement Learning Algorithm based on Q-Learning and Quantum Theory. As in reinforcement learning algorithm, when the number of agents or/and agent´s action is large enough, all of the action selection methods will be failed: the speed of learning is decreased sharply. we try to combine the quantum theory with Q-Learning, hoping that the problem will be resolved with our proposed.