A reinforcement learning model based-information control method and apparatus, a computer device and a storage medium, which relates to the field of artificial intelligence. The method comprises: acquiring the current time and an image of an intersection at which a signal light is located (S1); if the current time and the image of the intersection in which the signal light is located meet a use condition, then extracting a specified state feature from the image of the intersection at which the signal light is located (S3); inputting the specified state feature into a signal light action prediction model so as to obtain a predicted action, wherein the signal light action prediction model is obtained on the basis of a reinforcement learning model by means of training sample data that has a specified data structure, the specified data structure is composed of a plurality of data blocks, and sample data provided with the same signal light phase and the same predicted action are stored in the same data block (S4); and controlling the signal light according to the predicted action (S5). Thus, the control of the signal light is made more suitable for more traffic conditions, and is more robust.
REINFORCEMENT LEARNING MODEL-BASED INFORMATION CONTROL METHOD AND APPARATUS, AND COMPUTER DEVICE