Neural network obtaining method and related device

A server, comprising a processor, wherein the processor is coupled to a memory;

• the memory stores a program instruction, which when executed by the processor, cause the processor to perform the operations, comprising:
• obtaining a first success rate of completing a first task by using a first neural network, wherein the first neural network is used to select, from a skill library, a skill used to complete the first task;
• when the first success rate is less than a preset threshold, obtaining a second neural network and a new skill, and adding the new skill to the skill library to update the skill library, wherein the second neural network is used to select, from the updated skill library, a skill used to complete the first task;
• training, based on a simulated environment corresponding to the first task, the second neural network and the new skill by using a reinforcement learning algorithm, until a second success rate of completing the first task by using the second neural network is greater than or equal to the preset threshold;
• and
• storing the trained second neural network and the updated skill library.