...Xinglin Yu; Yuhu Wu; Xi-Ming Sun; Wenya Zhou Balancing the exploration and exploitation in reinforcement learning is a commonly dilemma and time-wasting work. In this paper, a novel exploration policy used in Q-Learning, called Memory-greedy policy, is proposed to accelerate learning. By memory...