Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
批准号:
RGPIN-2017-05271
负责人:
Buro, Michael
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
中文摘要
人工智能(AI)研究已经取得了长足的进步,创造出了挑战人类在复杂决策领域的霸主地位的系统,如国际象棋、扑克、危险游戏、股票交易,以及最近的图像识别、自动驾驶和亚洲棋类游戏围棋。相比之下,在流行的视频游戏(如星际争霸)和复杂的不完美信息领域,人工智能进展缓慢,在这些领域,信息对特工隐藏,在许多情况下,人类专家仍然可以轻松超越最好的程序。
英文摘要
Artificial Intelligence (AI) research has come a long way creating systems that challenge human supremacy in complex decision domains such as Chess, Poker, Jeopardy, stock trading, and recently image recognition, autonomous driving, and the Asian boardgame Go. By contrast, AI progress in popular video games (such as StarCraft) and complex imperfect information domains, in which information is hidden from agents, has been slow, and in many cases human experts can still easily outperform the best programs.
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Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
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批准号:RGPIN-2018-06677
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项目类别:Discovery Grants Program - Individual
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Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
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Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
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项目类别:Discovery Grants Program - Individual
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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Learning and Search in Decision Domains Featuring Large Action Sets and Uncertainty
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批准号:RGPIN-2018-06677
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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财政年份:2018
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依托单位:
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项目类别:Discovery Grants Program - Individual
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.24万
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财政年份:2015
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负责人:Buro, Michael
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依托单位:
"Search, Opponent Modelling, Cooperation, and State Inference in Complex Imperfect Information Domains."
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批准号:261531-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.24万
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财政年份:2014
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负责人:Buro, Michael
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依托单位:
"Search, Opponent Modelling, Cooperation, and State Inference in Complex Imperfect Information Domains."
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批准号:261531-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.24万
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财政年份:2013
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负责人:Buro, Michael
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依托单位:
"Search, Opponent Modelling, Cooperation, and State Inference in Complex Imperfect Information Domains."
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批准号:261531-2012
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.24万
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财政年份:2012
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负责人:Buro, Michael
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依托单位:
Planning and state evaluation in real-time decision domains
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批准号:261531-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2011
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负责人:Buro, Michael
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依托单位:
Planning and state evaluation in real-time decision domains
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批准号:261531-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2010
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负责人:Buro, Michael
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依托单位:
Planning and state evaluation in real-time decision domains
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批准号:261531-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2009
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负责人:Buro, Michael
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依托单位:
Planning and state evaluation in real-time decision domains
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批准号:261531-2007
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项目类别:Discovery Grants Program - Individual
-
资助金额:$1.75万
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财政年份:2008
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负责人:Buro, Michael
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依托单位:
Planning and state evaluation in real-time decision domains
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批准号:261531-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2007
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负责人:Buro, Michael
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依托单位:
Solving real-time decision problems by machine learning and planning
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批准号:261531-2003
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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财政年份:2006
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负责人:Buro, Michael
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依托单位:
Solving real-time decision problems by machine learning and planning
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批准号:261531-2003
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项目类别:Discovery Grants Program - Individual
-
资助金额:$1.89万
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财政年份:2005
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负责人:Buro, Michael
-
依托单位:
Solving real-time decision problems by machine learning and planning
-
批准号:261531-2003
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.89万
-
财政年份:2004
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负责人:Buro, Michael
-
依托单位:
Solving real-time decision problems by machine learning and planning
-
批准号:261531-2003
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.89万
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财政年份:2003
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负责人:Buro, Michael
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依托单位:
海外基金