Invention Grant
- Patent Title: Systems and methods for machine generated training and imitation learning
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Application No.: US16185767Application Date: 2018-11-09
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Publication No.: US11531929B2Publication Date: 2022-12-20
- Inventor: Abhishek Chauhan
- Applicant: Citrix Systems, Inc.
- Applicant Address: US FL Fort Lauderdale
- Assignee: Citrix Systems, Inc.
- Current Assignee: Citrix Systems, Inc.
- Current Assignee Address: US FL Fort Lauderdale
- Agency: Foley & Lardner LLP
- Main IPC: H04L67/55
- IPC: H04L67/55 ; H04L67/01 ; G06N20/00 ; H04L67/10

Abstract:
Embodiments described include systems and methods for generating training content for completion of tasks. The method includes receiving, from each of a plurality of client applications, interactions recorded by the client application via an embedded browser of the client application. The method includes classifying the interactions received from each client application into one or more tasks. The method includes selecting, for a first task of the one or more tasks, from the interactions classified into the first task, a subset of interactions to be included in a training content including a recorded example of performing the first task across the one or more network application. The method includes generating the training content configured to be transmitted to client applications responsive to receiving a request related to the first task.
Public/Granted literature
- US20200151617A1 SYSTEMS AND METHODS FOR MACHINE GENERATED TRAINING AND IMITATION LEARNING Public/Granted day:2020-05-14
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