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Improved learning of reactive, cooperative behaviour through learning-based testing

Improved learning of reactive, cooperative behaviour through learning-based testing
通过基于学习的测试改进对反应性、合作行为的学习
批准号:
RGPIN-2017-04839
负责人:
Denzinger, Jörg
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The long-term vision for my research is to use machine learning to improve the development of distributed systems software. My key idea is to modify and extend a concept for learning of cooperative behaviour to include the results of a learning-based testing component that finds negative consequences of the learned cooperative behaviour, including problems with intended functionality, efficiency and security.
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Improved learning of reactive, cooperative behaviour through learning-based testing
  • 批准号:
    RGPIN-2017-04839
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    Denzinger, Jörg
  • 依托单位:
Improved learning of reactive, cooperative behaviour through learning-based testing
  • 批准号:
    RGPIN-2017-04839
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2020
  • 负责人:
    Denzinger, Jörg
  • 依托单位:
Improved learning of reactive, cooperative behaviour through learning-based testing
  • 批准号:
    RGPIN-2017-04839
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2019
  • 负责人:
    Denzinger, Jörg
  • 依托单位:
Improved learning of reactive, cooperative behaviour through learning-based testing
  • 批准号:
    RGPIN-2017-04839
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2018
  • 负责人:
    Denzinger, Jörg
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: