- 专利标题: Method for optimizing program using reinforcement learning
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申请号: US17853028申请日: 2022-06-29
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公开(公告)号: US12026487B2公开(公告)日: 2024-07-02
- 发明人: Jaejin Lee , Wookeun Jung
- 申请人: MOREH CORP.
- 申请人地址: KR Seoul
- 专利权人: MOREH CORP.
- 当前专利权人: MOREH CORP.
- 当前专利权人地址: KR Seoul
- 代理机构: Banner & Witcoff, Ltd.
- 优先权: KR 20190177761 2019.12.30 KR 20200176308 2020.12.16
- 主分类号: G06F11/36
- IPC分类号: G06F11/36 ; G06F8/41 ; G06N3/04 ; G06N3/08 ; G06N20/00 ; G06F8/30 ; G06F8/35 ; G06F8/77
摘要:
A method for automatically optimizing a program based on reinforcement learning includes (a) receiving an input for a source program, which includes a fixed parameter and variable parameter, (b) generating the source program based on the received input, (c) converting the source program into an object program, (d) executing the converted object program to measure a performance of the executed object program, (e) inputting the variable parameter and the measured performance into a machine learning model, and outputting a variation of the variable parameter, and (f) regenerating a source program reflecting the variation of the variable parameter.
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