IMAGINATION-BASED AGENT NEURAL NETWORKS

A neural network system is proposed to select actions to be performed by an agent interacting with an environment to perform a task in an attempt to achieve a specified result. The system may include a controller to receive state data and context data, and to output action data. The system may also...

Full description

Saved in:
Bibliographic Details
Main Authors Battaglia, Peter William, Weber, Theophane Guillaume, Vinyals, Oriol, Buesing, Lars, Heess, Nicolas Manfred Otto, Pascanu, Razvan, Reichert, David Paul, Wierstra, Daniel Pieter, Li, Yujia, Racaniere, Sebastien Henri Andre
Format Patent
LanguageEnglish
Published 25.03.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A neural network system is proposed to select actions to be performed by an agent interacting with an environment to perform a task in an attempt to achieve a specified result. The system may include a controller to receive state data and context data, and to output action data. The system may also include an imagination module to receive the state and action data, and to output consequent state data. The system may also include a manager to receive the state data and the context data, and to output route data which defines whether the system is to execute an action or to imagine. The system may also include a memory to store the context data.
Bibliography:Application Number: US202017114324