The invention provides an information center network interest packet forwarding method based on reinforcement learning. The method comprises an exploration stage and a utilization stage, wherein during the exploration stage, a Q value is added into a forwarding information table, a candidate port list is acquired according to the longest prefix matching, departure time and the minimum Q value areadded into a data packet, the Q value of a data packet port data flow is computed via information carried in the data packet, the utilization stage is entered after the N1 interest packets are forwarded; when forwarding the interest packets, an intelligent agent also selects the best forwarding port according to probability, when a probability computing formula is met or the N2 interest packets are sent, the utilization stage is ended, and the exploration stage is entered once again. According to the method provided by the invention, an interest packet forwarding process is converted into a path optimization problem, and thus a congestion problem in a network is effectively solved.