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Logic-based AI for Interpretable Board Game Winner Prediction with
  Tsetlin Machine

Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine

8 March 2022
Charul Giri
Ole-Christoffer Granmo
H. V. Hoof
Christian D. Blakely
ArXiv (abs)PDFHTML

Papers citing "Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine"

5 / 5 papers shown
Title
Massively Parallel and Asynchronous Tsetlin Machine Architecture
  Supporting Almost Constant-Time Scaling
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna
Bimal Bhattarai
Morten Goodwin
S. Gorji
Ole-Christoffer Granmo
Lei Jiao
Rupsa Saha
Rohan Kumar Yadav
LRM
37
37
0
10 Sep 2020
InterpretML: A Unified Framework for Machine Learning Interpretability
InterpretML: A Unified Framework for Machine Learning Interpretability
Harsha Nori
Samuel Jenkins
Paul Koch
R. Caruana
AI4CE
164
489
0
19 Sep 2019
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to
  Optimal Pattern Recognition with Propositional Logic
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Ole-Christoffer Granmo
41
151
0
04 Apr 2018
Neurohex: A Deep Q-learning Hex Agent
Neurohex: A Deep Q-learning Hex Agent
K. Young
R. Hayward
Gautham Vasan
70
25
0
24 Apr 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
1