GRAPH NEURAL NETWORKS REPRESENTING PHYSICAL SYSTEMS

• Main Authors: HADSELL, Raia Thais, SPRINGENBERG, Jost, RIEDMILLER, Martin, SANCHEZ, Alvaro, HEESS, Nicolas Manfred Otto, BATTAGLIA, Peter William, MEREL, Joshua
• Format: Patent
• Language: English; French; German
• Published: 18.09.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

A graph neural network system implementing a learnable physics engine for understanding and controlling a physical system. The physical system is considered to be composed of bodies coupled by joints and is represented by static and dynamic graphs. A graph processing neural network processes an inpu...