Deepmind technologies limited (20250103776). OPTIMIZING DESIGN PARAMETERS USING A SIMULATION NEURAL NETWORK

OPTIMIZING DESIGN PARAMETERS USING A SIMULATION NEURAL NETWORK

Organization Name

deepmind technologies limited

Inventor(s)

Kelsey Rebecca Allen of London GB

Tatiana Lopez Guevara of Edinburgh GB

Kimberly Stachenfeld of London GB

Jessica Blake Chandler Hamrick of London GB

Alvaro Sanchez of London GB

Peter William Battaglia of London GB

Tobias Pfaff of London GB

OPTIMIZING DESIGN PARAMETERS USING A SIMULATION NEURAL NETWORK

This abstract first appeared for US patent application 20250103776 titled 'OPTIMIZING DESIGN PARAMETERS USING A SIMULATION NEURAL NETWORK

Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a set of design parameters. in one aspect, a method includes: obtaining a respective initial value for each design parameter, and iteratively optimizing current values of the design parameters over a sequence of optimization iterations. the method further includes, each optimization iteration: generating a representation of an initial state of an environment using the current values of the design parameters, processing an input including the representation of the initial state of the environment using a simulation neural network to generate an output that defines a simulation of the state of the environment over a sequence of one or more time steps, determining a reward, determining gradients of the reward with respect to the current values of the design parameters, and updating the current values of the design parameters using the gradients.