公开(公告)号：US20250124297A1

公开(公告)日：2025-04-17

申请号：US18834208

申请日：2023-01-30

Applicant: DeepMind Technologies Limited

Inventor： Mark Daniel Rowland ,  Shantanu Yogeshraj Thakoor ,  Andre da Motta Salles Barreto ,  Diana Luiza Borsa ,  William Clinton Dabney ,  Remi Munos

IPC: G06N3/092 ,  G06N3/0455

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling a reinforcement learning agent in an environment. One of the methods may include maintaining data specifying a base policy set comprising a plurality of base policies for controlling the agent; receiving a current observation characterizing a current state of the environment; generating, for each of the plurality of base policies, one or more predicted future observations characterizing respective future states of the environment that are subsequent to the current state of the environment; using the predicted future observations generated for the plurality of base policies to determine a respective estimated value for each composite policy in a composite policy set with respect to the current state of the environment; and selecting an action using the respective estimated values for the composite policies.