An architecture-Algorithm co-design of artificial intelligence for Trax player

Qing Lu, Chiu Wing Sham, Chung Ming Lau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2015 International Conference on Field Programmable Technology, FPT 2015
PublisherIEEE
Pages264-267
Number of pages4
ISBN (Electronic)9781467390910
DOIs
Publication statusPublished - 25 Jan 2016
EventInternational Conference on Field Programmable Technology, FPT 2015 - Queenstown, New Zealand
Duration: 7 Dec 20159 Dec 2015

Conference

ConferenceInternational Conference on Field Programmable Technology, FPT 2015
Country/TerritoryNew Zealand
CityQueenstown
Period7/12/159/12/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

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