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

Claim 15:
16. One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors cause one or more computer systems to:
identify a first data source configured to provide a representation of a non-simulation environment of one or more autonomous agents;
train, using a data set obtained at least in part from the first data source, a neural network-based reinforcement learning model, wherein the neural network-based reinforcement learning model includes a subcomponent comprising one or more attention layers configured to assign importance indicators to respective elements of the non-simulation environment, wherein one or more of the importance indicators produced by the one or more attention layers are used at one or more other sub-components of the neural network-based reinforcement learning model to identify one or more actions that cause, at least in part, an autonomous agent to initiate a change in vehicle motion, wherein the subcomponent comprising one or more attention layers is trained jointly with the one or more other sub-components of the neural network-based reinforcement learning model that identifies the one or more actions;
store a trained version of the neural network-based reinforcement learning model and
transmit 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 the 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 cause, at least in part, the change in vehicle motion.