公开(公告)号：US20240412072A1

公开(公告)日：2024-12-12

申请号：US18422620

申请日：2024-01-25

Applicant: DeepMind Technologies Limited

Inventor： Siqi Liu ,  Luke Christopher Marris ,  Nicolas Manfred Otto Heess ,  Marc Lanctot

IPC: G06N3/092

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling an agent interacting with an environment using a population of action selection policies that are jointly represented by a population action selection neural network. In one aspect, a method comprises, at each of a plurality of time steps: obtaining an observation characterizing a current state of the environment at the time step; selecting a target action selection policy from the population of action selection policies; processing a network input comprising: (i) the observation, and (ii) a strategy embedding representing the target action selection policy, using the population action selection neural network to generate an action selection output; and selecting an action to be performed by the agent at the time step using the action selection output.