Open AccessUsing Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares
Author(s) -
ROBERT L. ARRINGTON,
Clay Langley,
Steven Bogaerts
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.9852
Subject(s) - monte carlo tree search , computer science , pruning , parameterized complexity , tree (set theory) , domain (mathematical analysis) , monte carlo method , heuristic , state space , algorithm , artificial intelligence , theoretical computer science , machine learning , game tree , mathematical optimization , sequential game , game theory , mathematics , statistics , mathematical analysis , agronomy , biology , mathematical economics
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