Invention Publication
- Patent Title: MULTI-AGENT REINFORCEMENT LEARNING PIPELINE ENSEMBLE
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Application No.: US17583522Application Date: 2022-01-25
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Publication No.: US20230237385A1Publication Date: 2023-07-27
- Inventor: Lan Ngoc Hoang , Long Vu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Main IPC: G06N20/20
- IPC: G06N20/20

Abstract:
A computer-implemented method for configuring a plurality of machine learning pipelines into a machine learning pipeline ensemble is disclosed. The computer-implemented method includes determining, by a reinforcement learning agent coupled to a machine learning pipeline, performance information of the machine learning pipeline. The computer-implemented method further includes receiving, by the reinforcement learning agent, configuration parameter values of uncoupled machine learning pipelines of the plurality of machine learning pipelines. The computer-implemented method further includes adjusting, by the reinforcement learning agent, configuration parameter values of the machine learning pipeline based on the performance information of the machine learning pipeline and the configuration parameter values of the uncoupled machine learning pipelines.
Information query