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检索条件"任意字段=1993 AAAI Fall Symposium on Learning in Computer Vision"
68 条 记 录,以下是61-70 订阅
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A Pruning Algorithm for Imperfect Information Games
A Pruning Algorithm for Imperfect Information Games
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1993 aaai fall symposium on Games: Planning and learning
作者: Van Lent, Michael Mutchler, David Department of Computer Science University of Tennessee KnoxvilleTN37996-1301 United States
IMP-minimax is the analog to minimax for games with imperfect information, like card games such as bridge or poker. It computes an optimal strategy for the game if the game has a single player and a certain natural pr... 详细信息
来源: 评论
Best-First Minimax Search: First Results
Best-First Minimax Search: First Results
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1993 aaai fall symposium on Games: Planning and learning
作者: Korf, Richard E. David Maxwell Chickering Computer Science Department University of California Los AngelesCA90024 United States
We present a very simple selective minimax search algorithm for two-player gaines. It ahvays expands next the frontier node at the end of the principal variation, or current best line of play, which is the node that d... 详细信息
来源: 评论
A fast, cheap, and easy vision system for an autonomous vacuum cleaner
A fast, cheap, and easy vision system for an autonomous vacu...
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1993 aaai fall symposium on Instantiating Real-World Agent
作者: Gavin, Andrew S. Massachusetts Institute of Technology Artificial Intelligence Laboratory Department of Electrical Engineering and Computer Science 545 Technology Square CambridgeMA02139 United States
In the design and construction of mobile robots vision has always been one of the most potentially useful sensory systems. In practice however, it has also become the most difficult to successfully implement. At the M... 详细信息
来源: 评论
Go-Moku Solved by New Search Techniques
Go-Moku Solved by New Search Techniques
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1993 aaai fall symposium on Games: Planning and learning
作者: Ailis, L.V. Van Den Herik, H.J. Huntjens, M.P.H. University of Limburg P.O. Box 616 MD Maastricht6200 Netherlands Vrije Universiteit De Boelelaan 1081 HV Amsterdam1081 Netherlands
Many decades ago, Japanese professional Go-Moku players stated that Go-Moku (Five-in-a-row on a horizontally placed 15x15 board) is a won game for the player to move first So far, this claim has never been substantiat... 详细信息
来源: 评论
Games with Imperfect Information
Games with Imperfect Information
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1993 aaai fall symposium on Games: Planning and learning
作者: Blair, Jean R.S. Mutchler, David Liu, Cheng Department of Computer Science University of Tennessee KnoxvilleTN37996-1301 United States
An information set in a game tree is a set of nodes from which the rules of the game require that the same alternative (i.e., move) be selected. Thus the nodes in an information set are indistinguishable to the player... 详细信息
来源: 评论
Toward an Analysis of Forward Pruning
Toward an Analysis of Forward Pruning
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1993 aaai fall symposium on Games: Planning and learning
作者: Smith, Stephen J.J. Nau, Dana S. Computer Science Department University of Maryland College ParkMD20742 United States Computer Science Department Institute for Systems Research University of Maryland College ParkMD20742 United States
Several early game-playing computer programs used forward pruning (i.e., the practice of deliberately ignoring nodes that are believed unlikely to affect a game tree's minimax value), but this technique did not se... 详细信息
来源: 评论
Strategic Planning for Imperfect-Information Games
Strategic Planning for Imperfect-Information Games
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1993 aaai fall symposium on Games: Planning and learning
作者: Smith, Stephen J.J. Nau, Dana S. Computer Science Department University of Maryland College ParkMD20742 United States Computer Science Department Institute for Systems Research University of Maryland College ParkMD20742 United States
Although game-tree search works well in perfect-information games, there are problems in trying to use it for imperfect-information games such as bridge. The lack of knowledge about the opponents' possible moves g... 详细信息
来源: 评论
The Semantic Hierarchy Approach to Robot learning*
The Semantic Hierarchy Approach to Robot Learning*
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1992 aaai fall symposium on Applications of AI to Real-World Autonomous Mobile Robots
作者: Kuipers, Benjamin Froom, Richard Lee, Wan-Yik Pierce, David Artificial Intelligence Laboratory Department of Computer Sciences University of Texas at Austin AustinTX78712 United States
来源: 评论