Modular reinforcement learning model processing method, system and equipment and storage medium

The invention relates to a modular reinforcement learning model processing method and device, computer equipment and a storage medium. The method comprises that: interaction data generated by a virtual object in an interaction process with an interaction environment is obtained; the virtual object is controlled by a running component in a reinforcement learning system deployed in the cloud; the reinforcement learning system further comprises a learning assembly and an evaluation assembly; the reinforcement learning model is iteratively trained based on the interaction data through a learning component; in the iterative training process, the reinforcement learning model obtained through iterative training is evaluated through an evaluation component, and whether the reinforcement learning model obtained through iterative training meets interaction conditions or not is judged according to a result obtained through evaluation; and if not, the model associated with the running component is updated according to th