公开(公告)号：US12217137B1

公开(公告)日：2025-02-04

申请号：US17039447

申请日：2020-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Rasool Fakoor ,  Alexander Johannes Smola ,  Stefano Soatto ,  Pratik Anil Chaudhari

IPC: G06N20/00

Abstract: Techniques for Meta-Q-Learning (MQL) are described. A method of MQL may include receiving a request from an agent to perform adaptation based at least on task data associated with a new task collected by the agent, identifying a subset of meta-training data corresponding to the task data in a replay buffer, and adapting a policy using the subset of meta-training data and the task data to generate an adapted policy, wherein the adapted policy is used identify a next action for the agent to perform.