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Multi-forecast networks

A technology for predicting networks and networks, applied in the field of training intelligent artificial agents, which can solve problems such as lack of control agents

Pending Publication Date: 2021-08-06
SONY CORP OF AMERICA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In many cases, the user lacks the ability to control the skills and knowledge learned by the agent, or such learned skills and knowledge may be items that the user does not consider as important as other desired skills and knowledge
also, conventional systems may lack the ability to layer skills and knowledge in a modular fashion for learning higher level skills and knowledge
Also, in conventional systems, artificial agents may not learn specific forms of knowledge, i.e., oracles of experienced features during skill execution

Method used

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Examples

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Embodiment Construction

[0020] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. As used herein, the singular forms "a", "an" and "the" are intended to include plural as well as singular forms unless the context clearly dictates otherwise. It will also be understood that when the terms "comprises" and / or "comprising" are used in this specification, they specify the presence of said features, steps, operations, elements and / or components, but The presence or addition of one or more other features, steps, operations, elements, components and / or groups thereof is not excluded.

[0021] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will als...

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PUM

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Abstract

A method and system for training and / or operating an artificial intelligent agent can use multi-input and / or multi-forecast networks. Multi-forecasts are computational constructs, typically, but not necessarily, neural networks, whose shared network weights can be used to compute multiple related forecasts. This allows for more efficient training, in terms of the amount of data and / or experience needed, and in some instances, for more efficient computation of those forecasts. There are several related and sometimes composable approaches to multi-forecast networks.

Description

technical field [0001] One or more embodiments of the invention relate generally to intelligent artificial agents. More particularly, the present invention relates to training intelligent artificial agents via multi-forecasts and / or methods for making forecast calculations more efficient. Background technique [0002] The following background information may present examples (such as, but not limited to, schemes, facts, or common sense) of certain aspects of the prior art which, while expected to serve to further educate the reader about other aspects of the prior art, should not be used as be construed as limiting the invention or any embodiment thereof to anything stated or implied or inferred therein. [0003] Forecasts are predictions that are useful in many kinds of artificial intelligence (AI) systems. A prediction is a prediction of an outcome given the state of the world and conditioned on the skill or behavior performed by an agent. Forecasting can be used to mak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/04G06N3/08
CPCG06N3/08G06N3/006G06N3/045G06N5/02G06N3/04
Inventor R·卡波比安科V·科佩拉K·苏布拉曼尼亚J·麦克哥拉山P·沃尔曼S·巴维亚
Owner SONY CORP OF AMERICA