JP7529028B2 - 学習装置、学習方法および学習プログラム - Google Patents
学習装置、学習方法および学習プログラム Download PDFInfo
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- JP7529028B2 JP7529028B2 JP2022545246A JP2022545246A JP7529028B2 JP 7529028 B2 JP7529028 B2 JP 7529028B2 JP 2022545246 A JP2022545246 A JP 2022545246A JP 2022545246 A JP2022545246 A JP 2022545246A JP 7529028 B2 JP7529028 B2 JP 7529028B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/092—Reinforcement learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/032848 WO2022044314A1 (ja) | 2020-08-31 | 2020-08-31 | 学習装置、学習方法および学習プログラム |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2022044314A1 JPWO2022044314A1 (cg-RX-API-DMAC7.html) | 2022-03-03 |
| JPWO2022044314A5 JPWO2022044314A5 (cg-RX-API-DMAC7.html) | 2023-04-28 |
| JP7529028B2 true JP7529028B2 (ja) | 2024-08-06 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022545246A Active JP7529028B2 (ja) | 2020-08-31 | 2020-08-31 | 学習装置、学習方法および学習プログラム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20230306270A1 (cg-RX-API-DMAC7.html) |
| JP (1) | JP7529028B2 (cg-RX-API-DMAC7.html) |
| WO (1) | WO2022044314A1 (cg-RX-API-DMAC7.html) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119359082B (zh) * | 2024-10-14 | 2025-12-12 | 上海交通大学宁波人工智能研究院 | 利用强化学习生成非线性协同金融产品alpha因子的方法 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111401556A (zh) | 2020-04-22 | 2020-07-10 | 清华大学深圳国际研究生院 | 一种对抗式模仿学习中奖励函数的选择方法 |
| JP2020119384A (ja) | 2019-01-25 | 2020-08-06 | 富士通株式会社 | 解析プログラム、解析装置、及び解析方法 |
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2020
- 2020-08-31 US US18/023,225 patent/US20230306270A1/en active Pending
- 2020-08-31 JP JP2022545246A patent/JP7529028B2/ja active Active
- 2020-08-31 WO PCT/JP2020/032848 patent/WO2022044314A1/ja not_active Ceased
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020119384A (ja) | 2019-01-25 | 2020-08-06 | 富士通株式会社 | 解析プログラム、解析装置、及び解析方法 |
| CN111401556A (zh) | 2020-04-22 | 2020-07-10 | 清华大学深圳国际研究生院 | 一种对抗式模仿学习中奖励函数的选择方法 |
Non-Patent Citations (1)
| Title |
|---|
| HAUG, Luis et al.,"Teaching Inverse Reinforcement Learners via Features and Demonstrations",arXiv.org [online],arXiv:1810.08926v4,米国,Cornell University,2019年,pp.1-13,[検索日 2020.11.04], インターネット:<URL: https://arxiv.org/pdf/1810.08926v4> |
Also Published As
| Publication number | Publication date |
|---|---|
| US20230306270A1 (en) | 2023-09-28 |
| JPWO2022044314A1 (cg-RX-API-DMAC7.html) | 2022-03-03 |
| WO2022044314A1 (ja) | 2022-03-03 |
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