Patent ID: 11900244
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system, comprising:
one or more computing devices;
wherein the one or more computing devices include instructions that upon execution on or across one or more processors cause the one or more computing devices to:
identify, based at least in part on a first programmatic interaction, a first simulator of an environment of one or more autonomous agents;
train, using at least a pixel-level data set obtained from the first simulator as input, a neural network-based reinforcement learning model, wherein the neural network-based reinforcement learning model includes at least (a) a perception sub-model with one or more convolution layers and one or more attention layers and (b) a dynamics sub-model, wherein the perception sub-model is trained jointly with the dynamics sub-model, wherein the dynamics sub-model identifies one or more actions resulting in a change in vehicle motion to be initiated by an autonomous agent based on output generated by the perception sub-model, wherein the output comprises relative importance indicators assigned to respective elements of the environment, and wherein the relative importance indicators are determined by the one or more attention layers;
store a trained version of the neural network-based reinforcement learning model; and
transmit, based at least in part on a second programmatic interaction, the trained version of the neural network-based reinforcement learning model to a target autonomous agent, wherein one or more actions of the target autonomous agent within a non-simulation environment are initiated using the trained version of the neural network-based reinforcement learning model, and wherein at least one action of the one or more actions results in a change in motion of a vehicle at least partially controlled by the target autonomous agent.