- 专利标题: CREATING SATISFICING PLANNERS WITH DEEP LEARNING
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申请号: US17646088申请日: 2021-12-27
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公开(公告)号: US20230206027A1公开(公告)日: 2023-06-29
- 发明人: Michael Katz , Patrick Christoph Ferber
- 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: G06N3/04
- IPC分类号: G06N3/04 ; G06N3/08 ; H04L41/14
摘要:
Some embodiments of the present invention are directed to a method of choosing the components for a satisficing planner using machine learning (ML) (for example, deep learning (DL)). Some embodiments of the present invention are directed to choosing search algorithm component(s) for a satisficing planner using ML (for example, DL). Some embodiments of the present invention are directed to choosing search refinement components (that is, search boosting component(s) and/or search pruning component(s)) for a satisficing planner using ML (for example, DL).
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