- 专利标题: MULTI-AGENT REINFORCEMENT LEARNING PIPELINE ENSEMBLE
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申请号: US17583522申请日: 2022-01-25
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公开(公告)号: US20230237385A1公开(公告)日: 2023-07-27
- 发明人: Lan Ngoc Hoang , Long Vu
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06N20/20
- IPC分类号: G06N20/20
摘要:
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.
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