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Train on Small, Play the Large: Scaling Up Board Games with AlphaZero
  and GNN

Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN

18 July 2021
Shai Ben-Assayag
Ran El-Yaniv
    GNN
ArXiv (abs)PDFHTML

Papers citing "Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN"

6 / 6 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo SearchNeural Information Processing Systems (NeurIPS), 1996
Gerald Tesauro
Gregory R. Galperin
402
276
0
09 Jan 2025
Enhancing Chess Reinforcement Learning with Graph Representation
Enhancing Chess Reinforcement Learning with Graph RepresentationNeural Information Processing Systems (NeurIPS), 2024
Tomas Rigaux
H. Kashima
GNN
152
1
0
31 Oct 2024
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks
  and the AlphaZero Framework
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework
Geigh Zollicoffer
Kshitij Bhatta
Manish Bhattarai
Phil Romero
C. Negre
Anders M. N. Niklasson
A. Adedoyin
100
0
0
30 Jun 2024
Online 3D Bin Packing Reinforcement Learning Solution with Buffer
Online 3D Bin Packing Reinforcement Learning Solution with BufferIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Aaron Valero Puche
Sukhan Lee
OffRL
119
20
0
15 Aug 2022
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel
  Test Environments
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
John Tan Chong Min
Mehul Motani
172
2
0
13 Jul 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance
  from Small Scale Experiments
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale ExperimentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maor Ivgi
Y. Carmon
Jonathan Berant
217
23
0
13 Feb 2022
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