US 2022/0068477 A1 · ADAPTABLE REINFORCEMENT LEARNING

Abstract

Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises collecting an input from a user by transmitting instructions to at least one sensor device in a plurality of senor devices; dynamically classifying a volatile chemical by analyzing at least one result within a plurality of results for a chemical identification based on a collected input; determining a status of the user based on an analysis of an environment of the user and a dynamic classification of the volatile chemical; and generating an adaptative model that assesses a determined status, the dynamic classification of the volatile chemical, and the collected input into a user interface within a computing device.

Claims20

Dependent claims

A computer implemented method comprising:

collecting an input from a user by transmitting instructions to at least one sensor device in a plurality of senor devices, wherein the input comprises information associated with the user;
dynamically classifying a volatile chemical by analyzing at least one result within a plurality of results for a chemical identification based on a collected input;
determining a status of the user based on an analysis of an environment of the user and a dynamic classification of the volatile chemical, wherein the status is a condition, mood, or emotion of the user;
and
generating an adaptative model that assesses a determined status, the dynamic classification of the volatile chemical, and the collected input into a user interface within a computing device.

2 more elements

A computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
program instructions to collect an input from a user by transmitting instructions to at least one sensor device in a plurality of senor devices, wherein the input comprises information associated with the user;
program instructions to dynamically classify a volatile chemical by analyzing at least one result within a plurality of results for a chemical identification based on a collected input;
program instructions to determine a status of the user based on an analysis of an environment of the user and a dynamic classification of the volatile chemical, wherein the status is a condition, mood, or emotion of the user;
and
program instructions to generate an adaptative model that assesses a determined status, the dynamic classification of the volatile chemical, and the collected input into a user interface within a computing device.

3 more elements

A computer system comprising:

one or more computer processors;
one or more computer readable storage media;
and
program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
program instructions to collect an input from a user by transmitting instructions to at least one sensor device in a plurality of senor devices, wherein the input comprises information associated with the user;
program instructions to dynamically classify a volatile chemical by analyzing at least one result within a plurality of results for a chemical identification based on a collected input;
program instructions to determine a status of the user based on an analysis of an environment of the user and a dynamic classification of the volatile chemical, wherein the status is a condition, mood, or emotion of the user;
and
program instructions to generate an adaptative model that assesses a determined status, the dynamic classification of the volatile chemical, and the collected input into a user interface within a computing device.

6 more elements

Dependencies are inferred from the claim text.

Adaptable reinforcement learning

Life of this patent

Adaptable reinforcement learning

Life of this patent

Abstract

Claims20