SYSTEM DESIGN FOR AN INTEGRATED LIFELONG MACHINE LEARNING AGENT

• Main Authors: DIVAKARAN, Ajay, PIACENTINO, Michael R, NADAMUNI RAGHAVAN, Aswin, DANIELS, Zachary, HOSTETLER, Jesse, SUR, Indranil, RAHMAN, Abrar
• Format: Patent
• Language: English
• Published: 20.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

A method, apparatus and system for lifelong reinforcement learning include receiving features of a task, communicating the task features to a learning system, where the learning system learns or performs a task related to the features based on learning or performing similar previous tasks, determining from the features if the task has changed and if so, communicating the features of the changed task to the learning system, where the learning system learns or performs the changed task based on learning or performing similar previous tasks, automatically annotating feature characteristics of received features including differences between the features of the original task and the features of the changed task to enable the learning system to more efficiently learn or perform at least the changed task, and if the task has not changed, processing the task features of a current task by the learning system to learn or perform the current task.