DK3535705T3 - Forstærkningslæring med hjælpeopgaver - Google Patents
Forstærkningslæring med hjælpeopgaver Download PDFInfo
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- DK3535705T3 DK3535705T3 DK17808163.4T DK17808163T DK3535705T3 DK 3535705 T3 DK3535705 T3 DK 3535705T3 DK 17808163 T DK17808163 T DK 17808163T DK 3535705 T3 DK3535705 T3 DK 3535705T3
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- reinforcement learning
- assistant tasks
- tasks
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- learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Image Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201662418120P | 2016-11-04 | 2016-11-04 | |
PCT/IB2017/056906 WO2018083671A1 (en) | 2016-11-04 | 2017-11-04 | Reinforcement learning with auxiliary tasks |
Publications (1)
Publication Number | Publication Date |
---|---|
DK3535705T3 true DK3535705T3 (da) | 2022-05-30 |
Family
ID=60543606
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DK17808163.4T DK3535705T3 (da) | 2016-11-04 | 2017-11-04 | Forstærkningslæring med hjælpeopgaver |
Country Status (7)
Country | Link |
---|---|
US (3) | US10956820B2 (da) |
EP (1) | EP3535705B1 (da) |
JP (2) | JP6926203B2 (da) |
KR (1) | KR102424893B1 (da) |
CN (1) | CN110114783B (da) |
DK (1) | DK3535705T3 (da) |
WO (1) | WO2018083671A1 (da) |
Families Citing this family (67)
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CN117910545A (zh) | 2015-11-12 | 2024-04-19 | 渊慧科技有限公司 | 使用优先化经验存储器训练神经网络 |
CA3004885C (en) | 2015-11-12 | 2020-07-14 | Deepmind Technologies Limited | Asynchronous deep reinforcement learning |
JP6926203B2 (ja) * | 2016-11-04 | 2021-08-25 | ディープマインド テクノロジーズ リミテッド | 補助タスクを伴う強化学習 |
JP6728495B2 (ja) * | 2016-11-04 | 2020-07-22 | ディープマインド テクノロジーズ リミテッド | 強化学習を用いた環境予測 |
US11604997B2 (en) * | 2017-06-09 | 2023-03-14 | Deepmind Technologies Limited | Training action selection neural networks using leave-one-out-updates |
KR102100350B1 (ko) * | 2017-10-16 | 2020-04-14 | 농업회사법인 상상텃밭 주식회사 | 온실 시스템의 제어 모델 생성 방법 |
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KR102267316B1 (ko) * | 2019-03-05 | 2021-06-21 | 네이버랩스 주식회사 | 심층 강화 학습에 기반한 자율주행 에이전트의 학습 방법 및 시스템 |
KR102596158B1 (ko) * | 2019-03-20 | 2023-11-01 | 소니그룹주식회사 | 이중 액터 크리틱 알고리즘을 통한 강화 학습 |
US11308362B2 (en) * | 2019-03-26 | 2022-04-19 | Shenzhen Keya Medical Technology Corporation | Method and system for generating a centerline for an object, and computer readable medium |
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KR102082113B1 (ko) * | 2019-07-23 | 2020-02-27 | 주식회사 애자일소다 | 데이터 기반 강화 학습 장치 및 방법 |
US11676064B2 (en) * | 2019-08-16 | 2023-06-13 | Mitsubishi Electric Research Laboratories, Inc. | Constraint adaptor for reinforcement learning control |
KR102155055B1 (ko) | 2019-10-28 | 2020-09-11 | 라온피플 주식회사 | 강화학습 기반 신호 제어 장치 및 신호 제어 방법 |
CN110852438B (zh) * | 2019-11-11 | 2023-08-04 | 北京百度网讯科技有限公司 | 模型生成方法和装置 |
US20210158196A1 (en) * | 2019-11-25 | 2021-05-27 | Deepmind Technologies Limited | Non-stationary delayed bandits with intermediate signals |
KR102173579B1 (ko) * | 2019-12-02 | 2020-11-03 | 한국기술교육대학교 산학협력단 | 연합강화학습을 통한 다중 디바이스 제어 시스템 및 그 방법 |
US11579575B2 (en) * | 2019-12-03 | 2023-02-14 | Baidu Usa Llc | Inverse reinforcement learning with model predictive control |
CN111026272B (zh) * | 2019-12-09 | 2023-10-31 | 网易(杭州)网络有限公司 | 虚拟对象行为策略的训练方法及装置、电子设备、存储介质 |
CN111130698B (zh) * | 2019-12-26 | 2022-05-31 | 南京中感微电子有限公司 | 无线通信接收窗口预测方法、装置及无线通信设备 |
CN115066691A (zh) * | 2020-02-07 | 2022-09-16 | 渊慧科技有限公司 | 生成或者处理图像序列的循环单元 |
KR102100688B1 (ko) * | 2020-02-19 | 2020-04-14 | 주식회사 애자일소다 | 한도 소진률을 높이기 위한 데이터 기반 강화 학습 장치 및 방법 |
KR102100686B1 (ko) * | 2020-02-19 | 2020-04-14 | 주식회사 애자일소다 | 손실률을 낮추기 위한 데이터 기반 강화 학습 장치 및 방법 |
KR102440817B1 (ko) * | 2020-02-19 | 2022-09-06 | 사회복지법인 삼성생명공익재단 | 기록된 데이터에서 인과성을 식별하는 강화학습 방법, 장치 및 프로그램 |
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SG11202102364YA (en) * | 2020-04-02 | 2021-04-29 | Alipay Hangzhou Inf Tech Co Ltd | Determining action selection policies of an execution device |
KR102195433B1 (ko) * | 2020-04-07 | 2020-12-28 | 주식회사 애자일소다 | 학습의 목표와 보상을 연계한 데이터 기반 강화 학습 장치 및 방법 |
KR102272501B1 (ko) * | 2020-04-24 | 2021-07-01 | 연세대학교 산학협력단 | 분산 강화 학습 장치 및 방법 |
CN111496794B (zh) * | 2020-04-29 | 2022-04-01 | 华中科技大学 | 一种基于仿真工业机器人的运动学自抓取学习方法和系统 |
CN111666149B (zh) * | 2020-05-06 | 2023-04-07 | 西北工业大学 | 基于深度强化学习的超密边缘计算网络移动性管理方法 |
CN115380293A (zh) | 2020-06-05 | 2022-11-22 | 渊慧科技有限公司 | 多任务强化学习中利用元梯度学习动作选择的选项 |
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CN112347104B (zh) * | 2020-11-06 | 2023-09-29 | 中国人民大学 | 一种基于深度强化学习的列存储布局优化方法 |
CN112541835A (zh) * | 2020-12-08 | 2021-03-23 | 香港中文大学(深圳) | 一种基于混合模型的风电场控制学习方法 |
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KR102599363B1 (ko) * | 2021-02-04 | 2023-11-09 | 박근식 | 사용자기반의 ai에너지 절감 및 수요예측시스템 |
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WO2022199792A1 (en) * | 2021-03-22 | 2022-09-29 | Telefonaktiebolaget Lm Ericsson (Publ) | Reward estimation for a target policy |
CN113242469B (zh) * | 2021-04-21 | 2022-07-12 | 南京大学 | 一种自适应视频传输配置方法和系统 |
CN113420806B (zh) * | 2021-06-21 | 2023-02-03 | 西安电子科技大学 | 一种人脸检测质量评分方法及系统 |
WO2023023848A1 (en) * | 2021-08-24 | 2023-03-02 | Royal Bank Of Canada | System and method for machine learning architecture with multiple policy heads |
CN113810954B (zh) * | 2021-09-08 | 2023-12-29 | 国网宁夏电力有限公司信息通信公司 | 基于流量预测与深度强化学习的虚拟资源动态扩缩容方法 |
CN116330310B (zh) * | 2023-02-14 | 2023-11-07 | 河南泽远网络科技有限公司 | 一种低延时机器人交互方法 |
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Family Cites Families (7)
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US8345962B2 (en) | 2007-11-29 | 2013-01-01 | Nec Laboratories America, Inc. | Transfer learning methods and systems for feed-forward visual recognition systems |
KR20100112742A (ko) * | 2009-04-10 | 2010-10-20 | 경기대학교 산학협력단 | 강화 학습을 위한 행위-기반 구조 |
US9679258B2 (en) * | 2013-10-08 | 2017-06-13 | Google Inc. | Methods and apparatus for reinforcement learning |
US10445641B2 (en) | 2015-02-06 | 2019-10-15 | Deepmind Technologies Limited | Distributed training of reinforcement learning systems |
EP3079106B1 (en) * | 2015-04-06 | 2022-06-08 | DeepMind Technologies Limited | Selecting reinforcement learning actions using goals and observations |
FR3052457B1 (fr) | 2016-06-14 | 2018-06-22 | Bostik Sa | Compositions adhesives a base de polymeres silyles reticulables |
JP6926203B2 (ja) * | 2016-11-04 | 2021-08-25 | ディープマインド テクノロジーズ リミテッド | 補助タスクを伴う強化学習 |
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2017
- 2017-11-04 JP JP2019523801A patent/JP6926203B2/ja active Active
- 2017-11-04 EP EP17808163.4A patent/EP3535705B1/en active Active
- 2017-11-04 KR KR1020197015648A patent/KR102424893B1/ko active IP Right Grant
- 2017-11-04 WO PCT/IB2017/056906 patent/WO2018083671A1/en active Search and Examination
- 2017-11-04 CN CN201780080119.6A patent/CN110114783B/zh active Active
- 2017-11-04 DK DK17808163.4T patent/DK3535705T3/da active
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2019
- 2019-05-03 US US16/403,385 patent/US10956820B2/en active Active
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2021
- 2021-02-24 US US17/183,618 patent/US11842281B2/en active Active
- 2021-08-03 JP JP2021127570A patent/JP7235813B2/ja active Active
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2023
- 2023-11-03 US US18/386,954 patent/US20240144015A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
US11842281B2 (en) | 2023-12-12 |
JP2021185492A (ja) | 2021-12-09 |
US10956820B2 (en) | 2021-03-23 |
EP3535705A1 (en) | 2019-09-11 |
US20190258938A1 (en) | 2019-08-22 |
JP7235813B2 (ja) | 2023-03-08 |
US20210182688A1 (en) | 2021-06-17 |
US20240144015A1 (en) | 2024-05-02 |
KR20190069582A (ko) | 2019-06-19 |
JP6926203B2 (ja) | 2021-08-25 |
KR102424893B1 (ko) | 2022-07-25 |
WO2018083671A1 (en) | 2018-05-11 |
CN110114783B (zh) | 2023-07-18 |
JP2019534517A (ja) | 2019-11-28 |
CN110114783A (zh) | 2019-08-09 |
EP3535705B1 (en) | 2022-03-30 |
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