Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67533
Title: An architecture-algorithm co-design of artificial intelligence for trax player
Authors: Lu, Q
Sham, CW
Lau, FCM 
Keywords: Yttrium
Games
Software algorithms
Computer architecture
Pattern recognition
Monte carlo methods
Color
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: 2015 International Conference on Field Programmable Technology (FPT), Queenstown, New Zealand, 7-9 Dec 2015, p.264-267 How to cite?
Abstract: Trax is a two-player game of simple rules but strategic depth. This article proposes an FPGA-based artificial intelligence for its endless version called Supertrax. An implementable algorithm is developed by combining several strategies and techniques functioning at various levels of software and hardware. These methods are developed using heuristics, multi-level pattern recognition, Monte-Carlo Tree Search, and path-based scheduling. A specific architecture has also been described to accommodate this algorithm. The proposal contributes a novel idea on this subject and its performance will be shown in the design competition to be held in FPT'15.
URI: http://hdl.handle.net/10397/67533
ISBN: 978-1-4673-9091-0 (electronic)
978-1-4673-9090-3 (USB)
978-1-4673-9092-7 (print on demand(PoD))
DOI: 10.1109/FPT.2015.7393120
Appears in Collections:Conference Paper

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