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Patent Searching and Data


Title:
METHOD OF SELECTION OF AN ACTION FOR AN OBJECT USING A NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2019/068236
Kind Code:
A1
Abstract:
A method, device and system of prediction of a state of an object in the environment using an action model of a neural network. In accordance with one aspect, a control system (115) for an object comprises a processor (102), a plurality of sensors (110) coupled to the processor (102) for sensing a current state of the object and an environment in which the object is located, and a first neural network (250) coupled to the processor (102). A plurality of predicted subsequent states of the object in the environment is obtained using an action model, a current state of the object in the environment and a plurality of actions. The action model maps a plurality of states of the object in the environment and a plurality of actions performed by the object for each state to predicted subsequent states of the object in the environment. An action that maximizes a value of a target is determined. The target is based at least on a reward for each of the predicted subsequent states. The determined action is performed.

Inventors:
YAO HENGSHUAI (CA)
CHEN HAO (CA)
NOSRATI SEYED MASOUD (CA)
YADMELLAT PEYMAN (CA)
ZHANG YUNFEI (CA)
Application Number:
PCT/CN2017/109552
Publication Date:
April 11, 2019
Filing Date:
November 06, 2017
Export Citation:
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Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
B60W40/12; G06N3/02
Foreign References:
CN106080590A2016-11-09
US6493614B12002-12-10
CN103605285A2014-02-26
CN102289714A2011-12-21
CN106394555A2017-02-15
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