Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism-Reference-Cited by-同舟云学术

Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
language:
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Author:

Meng Yuan¹^ORCID,Wang Qian¹^ORCID,Zu Tianxin¹^ORCID,Prasanna Viktor¹^ORCID

Affiliation:

1. University of Southern California (USC), United States of America

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3625130

Reference5 articles.

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3. Yuan Meng , Rajgopal Kannan , and Viktor Prasanna . 2022 . Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. In 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 176–182 . Yuan Meng, Rajgopal Kannan, and Viktor Prasanna. 2022. Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. In 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 176–182.

4. Julian Schrittwieser , Ioannis Antonoglou , Thomas Hubert , Karen Simonyan , Laurent Sifre , Simon Schmitt , Arthur Guez , Edward Lockhart , Demis Hassabis , Thore Graepel , 2020. Mastering atari, go, chess and shogi by planning with a learned model. Nature 588, 7839 ( 2020 ), 604–609. Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, 2020. Mastering atari, go, chess and shogi by planning with a learned model. Nature 588, 7839 (2020), 604–609.

5. Linnan Wang , Yiyang Zhao , Yuu Jinnai , Yuandong Tian , and Rodrigo Fonseca . 2019. Alphax: exploring neural architectures with deep neural networks and monte carlo tree search. arXiv preprint arXiv:1903.11059 ( 2019 ). Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, and Rodrigo Fonseca. 2019. Alphax: exploring neural architectures with deep neural networks and monte carlo tree search. arXiv preprint arXiv:1903.11059 (2019).