AUTONOMOUS BEHAVIOR GENERATION WITH HIERARCHICAL REINFORCEMENT LEARNING

Described is a system for autonomous behavior generation. The system includes both a high-level controller and a low-level controller. The high-level controller receives observations from an environment and, using a neural net, selects a high-level behavior based on the observations from the environ...

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Bibliographic Details
Main Authors SOLEYMAN, Sean, KHOSLA, Deepak
Format Patent
LanguageEnglish
French
German
Published 02.11.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Described is a system for autonomous behavior generation. The system includes both a high-level controller and a low-level controller. The high-level controller receives observations from an environment and, using a neural net, selects a high-level behavior based on the observations from the environment. The low-level controller generates an output command for a scripted action based on the selected one high-level behavior. After generating the output command, the system can implement an action, such as causing a device to perform the scripted action.
Bibliography:Application Number: EP20200878052