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Reinforcement learning has its origin from the animal learning theory. RL does not require prior knowledge but can autonomously get optional policy with the help of knowledge obtained by trial-and-error and continuously interacting with the dynamic environment. Due to its characteristics of self improving and online learning, reinforcement learning has become one of intelligent agent's core technologies. This paper gives an introduction of reinforcement learning, discusses its basic model, thedoi:10.5120/12105-8332 fatcat:ghtmafph2jdunbqqss5zinzyg4