PROGRAMMABLE REINFORCEMENT LEARNING SYSTEMS

A reinforcement learning system is proposed comprising a plurality of property detector neural networks. Each property detector neural network is arranged to receive data representing an object within an environment, and to generate property data associated with a property of the object. A processor...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	DENIL, Misha Man, CABI, Serkan, FREITAS, Joao Ferdinando, SAXTON, David William, COLMENAREJO, Sergio Gomez
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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