REINFORCEMENT LEARNING SYSTEMS COMPRISING A RELATIONAL NETWORK FOR GENERATING DATA ENCODING RELATIONSHIPS BETWEEN ENTITIES IN AN ENVIRONMENT

A neural network system for reinforcement learning is proposed, including an input network for extracting, from state data, respective entity data for each a plurality of entities which are present, or at least potentially present, in the environment. The entity data describes the entity. The neural...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	RAPOSO DAVID NUNES, LI YUJIA, SANTORO ADAM ANTHONY, BAPST VICTOR CONSTANT, ZAMBALDI VINICIUS
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!