Patent ID: 11883746
Assignee: ELECTRONIC ARTS INC.
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A computer-implemented method for training a first reinforcement-learning, RL, agent and a second RL agent coupled to a computer game environment using RL techniques, the method comprising:
iteratively generating, by the first RL agent, a sub-goal sequence in relation to an overall goal within the computer game environment, based on:
generating a new sub-goal for the sub-goal sequence after the second RL agent, interacting with the computer game environment, successfully achieves a current sub-goal in the sub-goal sequence; and
updating the first RL agent using a first reward issued when the second RL agent successfully achieves the current sub-goal;

iteratively interacting, by the second RL agent, with the computer game environment to achieve the current sub-goal based on:
performing one or more actions, by the second RL agent, in the computer game environment to achieve the current sub-goal; and
updating the second RL agent using a second reward issued by the computer game environment based on the performance of the second RL agent attempting to achieve said current sub-goal; and

outputting, once validly trained, a final first RL agent for automatic procedural content generation, PCG, in the computer game environment, and a final second RL agent for automatically interacting with a PCG computer game environment.