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Coevolutionary automatic game content generation of physics and flighting style games

Coevolutionary automatic game content generation of physics and flighting style games
物理和飞行风格游戏的协同进化自动游戏内容生成
批准号:
499792-2016
负责人:
Heywood, Malcolm
金额:
$5.34万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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中文摘要
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英文摘要
Procedural content generation (PCG) represents an automatic process by which content for computer games is automatically created. As such, it has the potential to significantly reduce the cost of game development. Commercial products are available for automatically generating visual content. Moreover, there have been several results over the last five years in which significant advances have been made to PCG for describing the structural layout of material encountered in a game. Examples include the automatic generation of 'maze like worlds' as encountered in the adventure genre of computer games, and specific instances of content for platform style games - such as 'Super Mario Bros' - or physics puzzle style games such as 'Cut the Rope'.
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Scaling Genetic Programming to Complex Reinforcement Learning Tasks
  • 批准号:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Scaling Genetic Programming to Complex Reinforcement Learning Tasks
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
Scaling Genetic Programming to Complex Reinforcement Learning Tasks
  • 批准号:
    RGPIN-2020-04438
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2020
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2019
  • 负责人:
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  • 依托单位:
国内基金
海外基金
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  • 批准号:
    60472004
  • 项目类别:
    面上项目
  • 资助金额:
    26.0万元
  • 批准年份:
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  • 负责人:
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