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检索条件"主题词=UCT algorithm"

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uct algorithm in Amazons Human-computer Games

UCT Algorithm in Amazons Human-computer Games

引用

26th Chinese Control and Decision Conference (CCDC)

作者： Li, Xiali Hou, Liang Wu, Licheng MINZU Univ China Sch Informat Engn Beijing 100081 Peoples R China

ISBN: (纸本)9781479937066

The main difficulty of Amazons games is the huge branch factor. Traditional NegaMax Search and Alpha-Beta Search can only search a few layers and can't improve the games effectively. Monte-Carlo algorithm can improve the games but it needs a huge amount of computing. This paper studies applying uct algorithm to the Amazons games to overcome this problem in order to balance the search efficiency and computing load. In uct mini-max tree search, the algorithm select tree node according to the node's UCB (Upper Confidence Bound) value. Then evaluate the selected node and return the optimal moves. Using C++ programming language, we implemented Amazons human-computer games software. The experiments show that uct algorithm can implement the search work in Amazons human-computer games and get satisfactory search efficiency.

关键词： Artificial Intelligence Computer Games Amazons uct algorithm Monte-Carlo

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Research on Parallel Optimization of uct algorithm for NoGo Computer Game 29

Research on Parallel Optimization of UCT Algorithm for NoGo ...

引用

第29届中国控制与决策会议

作者： Zhang Ziyang Sun Yuxia College of Aerospace Engineering Shenyang Aerospace University Engineering Training Center Shenyang Aerospace University

ISBN: (纸本)9781509046584

The theoretical system and evaluation methods of NoGo is not mature for it is been proposed in recent *** uct algorithm has become a popular approach for NoGo *** uct algorithm based on Monte-Carlo Tree Search only runs on a single thread,which does not make full use of multi-core CPU *** this paper,a multi-thread parallel optimization method of uct algorithm is put *** experimental results show that the parallel optimized uct algorithm enhances researching efficiency for NoGo,and makes the decisions of the best move for NoGo faster and more ***,it also increases the skill of NoGo game.

关键词： NoGo uct algorithm Parallel Optimization Computer Game

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Technique Analysis and Designing of Program with uct algorithm for NoGo

Technique Analysis and Designing of Program with UCT Algorit...

引用

25th Chinese Control and Decision Conference (CCDC)

作者： Li, Rui Wu, Yueqiu Zhang, Andi Ma, Chen Chen, Bo Wang, Shuliang Beijing Inst Technol Sch Software Beijing 100081 Peoples R China

ISBN: (纸本)9781467355322;9781467355339

As a typical example of dynamic search algorithm, the uct algorithm was initially used on the computerized game of GO. This paper briefly introduces the Markov Decision process, the Multi-armed Bandit model, and the Upper-Confidence Bandit formula. It analyzes the source and structure of the uct algorithm in theory, and proves that the uct algorithm is suitable for the design of the program of NoGo. According to the characteristics of NoGo, in the paper we improved the algorithm in terms of move generation and data reuse. We also tried to establish an off-line knowledge database for research. With experimental data we have tested and evaluated the above methods. The above algorithm and technology have been successfully used in WTShadows - the NoGo game program, which enabled us to have won the champion in national competition.

关键词： NoGo uct algorithm Knowledge Base Dynamic Move Queue Markov Decision Process MAB Model

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Modification of uct algorithm with Quiescent Search in Computer GO

Modification of UCT Algorithm with Quiescent Search in Compu...

引用

15th Annual International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Xiao, Feng Liu, Zhiqing Beijing Univ Posts & Telecommun BUPT JD Inst Comp GO Beijing 100876 Peoples R China

ISBN: (纸本)9780769542539

The uct algorithm has been widely used in computer GO with significant improvements since its publication in 2006. However, the uct algorithm does not address the horizon effects in game tree search, which is an important issue in computer games and it is typically addressed through quiescent search. This paper proposes a modification of the uct algorithm such that quiescent search can be integrated in the uct algorithm and proposes several conditions to trigger quiescent search in computer GO. Experimental results show that our modification can increase the game tree search depth significantly and improve its winning rate against GNUGO.

关键词： uct algorithm horizon effects quiescent search computer GO

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Pruning in uct algorithm

Pruning in UCT Algorithm

引用

15th Annual International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Huang, Jing Liu, Zhiqing Lu, Benjie Xiao, Feng Beijing Univ Posts & Telecommun BUPT JD Inst Comp GO Beijing 100876 Peoples R China

ISBN: (纸本)9780769542539

uct is a Monte-Carlo planning algorithm that, with in a given amount of time, computes near-optimal solutions for Markovian decision processes of large state spaces. It has gained much attention from there search community and been used in many applications since its publication in 2006, because of its significant improvement of the effectiveness of Monte-Carlo planning computation. This paper proposes a modification of the uct algorithm, which can prune certain Markovian decision process actions and their associated states during the Monte-Carlo planning computation. The pruning of actions and states is performed based on properties of underlying UCB algorithms of uct. This paper proves that it is highly unlikely for the pruned actions and states to be in the solution path returned by the uct algorithm, making the pruning modification almost just as good as the original algorithm. Additionally, the pruning modification may reduce the size of the Markovian decision process state space, and thus improves the effectiveness of the original algorithm. Experimental results in computer GO demonstrate the effectiveness of pruning in the uct algorithm.

关键词： uct algorithm Monte-Carlo planning pruning condition territorial information

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Amazon game system design and realization based on staged uct algorithm 30

Amazon game system design and realization based on staged UC...

引用

30th Chinese Control and Decision Conference (CCDC)

作者： Fu, Yao Li, Shuqin Qi, Yanan Beijing Informat Sci Technol Univ Beijing 100085 Peoples R China Sensing & Computat Intelligence Joint Lab Beijing 100085 Peoples R China

ISBN: (纸本)9781538612446

Aiming at the great difficulty of branches of Amazon, this paper presents a staged uct search algorithm based on Amazon chess. First of all, generate 100,000 simulation chess game data through self-play game, use K -means algorithm to determine the Amazon chess game three stages. Then, We give the uct search algorithm of the three stages of the start, the middle and the ending, so that the program call achieve a good balance between the search effect and the calculation delay, and get a good effect in the experiment.

关键词： Computer game Amazon game stage self-play game uct algorithm

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uct algorithm in Amazons Human-computer Games

UCT Algorithm in Amazons Human-computer Games

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第26届中国控制与决策会议

作者： Xiali Li Liang Hou Licheng Wu School of Information Engineering MINZU University of China

The main difficulty of Amazons games is the huge branch factor. Traditional NegaMax Search and Alpha-Beta Search can only search a few layers and can't improve the games effectively. Monte-Carlo algorithm can improve the games but it needs a huge amount of computing. This paper studies applying uct algorithm to the Amazons games to overcome this problem in order to balance the search efficiency and computing load. In uct mini-max tree search, the algorithm select tree node according to the node's UCB(Upper Confidence Bound) *** evaluate the selected node and return the optimal moves. Using C++ programming language, we implemented Amazons human-computer games software. The experiments show that uct algorithm can implement the search work in Amazons human-computer games and get satisfactory search efficiency.

关键词： Artificial Intelligence Computer Games Amazons uct algorithm Monte-Carlo

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Amazon game system design and realization based on staged uct algorithm

Amazon game system design and realization based on staged UC...

引用

第30届中国控制与决策会议

作者： Yao Fu Shuqin Li Yanan Qi Beijing Information Science & Technology University

Aiming at the great difficulty of branches of Amazon, this paper presents a staged uct search algorithm based on Amazon chess. First of all, generate 100,000 simulation chess game data through self-play game, use K-means algorithm to determine the Amazon chess game three stages. Then, we give the uct search algorithm of the three stages of the start, the middle and the ending, so that the program can achieve a good balance between the search effect and the calculation delay, and get a good effect in the experiment.

关键词： Computer game Amazon game stage self-play game uct algorithm

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Amazon Chess Based on uct-PVS Hybrid algorithm 33

Amazon Chess Based on UCT-PVS Hybrid Algorithm

引用

33rd Chinese Control and Decision Conference (CCDC)

作者： Li, Zhuoxuan Ning, Chenhui Cao, Jinde Li, Zhengyu Southeast Univ Sch Math Nanjing 210096 Peoples R China Yonsei Univ Yonsei Frontier Lab Seoul 03722 South Korea Big Fish Tournaments Beijing Network Technol Co L Beijing 100029 Peoples R China

ISBN: (纸本)9781665440899

Amazon Chess is a game with complexity between Go and Chinese Chess. Its complexity is mainly due to its extremely large branching factor, which makes it difficult to reach a high depth in the search process. This paper adopts the hybrid search algorithm combines with Upper Confidence bounds Trees search algorithm (uct) and Principal Variation Search (PVS), which is called uct-PVS hybrid search algorithm. The uct algorithm is used at the opening stage to enable the game player to obtain a more advantageous *** PVS combines with Historical Heuristics and Transposition Table, by reducing the pruning window, the pruning efficiency is effectively increased and greatly improves the search depth. The Amazon Chess software is developed by using this technology and is effectively improved its game level.

关键词： Amazon Chess uct algorithm PVS algorithm uct-PVS hybrid algorithm Transposition Table Historical Heuristics

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Amazon Chess Based on uct-PVS Hybrid algorithm

Amazon Chess Based on UCT-PVS Hybrid Algorithm

引用

第33届中国控制与决策会议

作者： Zhuoxuan Li Chenhui Ning Jinde Cao Zhengyu Li School of Mathematics Southeast University Yonsei Frontier Lab Yonsei University

Amazon Chess is a game with complexity between Go and Chinese *** complexity is mainly due to its extremely large branching factor,which makes it difficult to reach a high depth in the search *** paper adopts the hybrid search algorithm combines with Upper Confidence bounds Trees search algorithm（uct） and Principal Variation Search（PVS）,which is called uct-PVS hybrid search *** uct algorithm is used at the opening stage to enable the game player to obtain a more advantageous *** PVS combines with Historical Heuristics and Transposition Table,by reducing the pruning window,the pruning efficiency is effectively increased and greatly i mproves the search *** Amazon Chess software is developed by using this technology and is effectively improved its game level.

关键词： Amazon Chess uct algorithm PVS algorithm uct-PVS hybrid algorithm Transposition Table Historical Heuristics

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