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THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF COMPUTER SCIENCE AND ENGINEERING Expectimax Enhancements for Stochastic Game Players
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Document Date: 2009-09-12 23:05:58


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Facility

UNIVERSITY OF NEW SOUTH WALES SCHOOL OF COMPUTER SCIENCE AND ENGINEERING Expectimax Enhancements / /

IndustryTerm

less search effort / feed-forward neural network / game tree search algorithm / Game tree search algorithms / alpha-beta algorithm / stochastic search algorithms / minimax algorithm / alpha-beta search / batch processing / alpha-beta algorithms / expectimax algorithm / deterministic search / recursive game tree search algorithm / stochastic game tree search / search effort / player game tree search / /

Organization

UNIVERSITY OF NEW SOUTH WALES SCHOOL OF COMPUTER SCIENCE AND ENGINEERING Expectimax Enhancements for Stochastic Game Players Joel Veness Thesis / /

Person

Kee Siong / Will Uther / Felicity Allen / Alan Blair / /

Position

Supervisor / feed-forward / player / Acknowledgements My supervisor / /

Region

SOUTH WALES / /

Technology

alpha / Star2 algorithm / game tree search algorithm / neural network / StarETC algorithm / 3.2 Algorithms / recursive game tree search algorithm / improved algorithm / alpha-beta algorithms / stochastic search algorithms / alpha-beta algorithm / Game tree search algorithms / expectimax algorithm / minimax algorithm / existing alpha-beta enhancements / /

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