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1
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
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On Efficient Reinforcement Learning for Full-length Game of StarCraft II

Liu, Ruo-Ze ; Pang, Zhen-Jia ; Meng, Zhou-Yu ; Wang, Wenhai ; Yu, Yang ; Lu, Tong

The Journal of artificial intelligence research, 2022-01, Vol.75, p.213-260 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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ASNets: Deep Learning for Generalised Planning
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ASNets: Deep Learning for Generalised Planning

Toyer, Sam ; Thiébaux, Sylvie ; Trevizan, Felipe ; Xie, Lexing

The Journal of artificial intelligence research, 2020-05, Vol.68, p.1-68 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity: CNN-3D-ERT
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Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity: CNN-3D-ERT

Vu, M T ; Jardani, A

Geophysical journal international, 2021-05, Vol.225 (2), p.1319-1331 [Periódico revisado por pares]

Oxford University Press

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4
Competitive Coevolution through Evolutionary Complexification
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Competitive Coevolution through Evolutionary Complexification

Stanley, K. O. ; Miikkulainen, R.

The Journal of artificial intelligence research, 2004-01, Vol.21, p.63-100 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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5
Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram
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Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram

Park, Jihun ; Jung, Dae-Jin

International Journal of Control, 2021, Automation, and Systems, 19(2), , pp.1103-1112

Bucheon / Seoul: Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers

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6
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors
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Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors

Shahroodi, Taha ; Singh, Gagandeep ; Zahedi, Mahdi ; Mao, Haiyu ; Lindegger, Joel ; Firtina, Can ; Wong, Stephan ; Mutlu, Onur ; Hamdioui, Said

arXiv.org, 2023-11

Ithaca: Cornell University Library, arXiv.org

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7
How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm
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How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm

Lovén, Lauri ; Morabito, Roberto ; Kumar, Abhishek ; Pirttikangas, Susanna ; Riekki, Jukka ; Tarkoma, Sasu

arXiv.org, 2023-09

Ithaca: Cornell University Library, arXiv.org

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8
HALO-CAT: A Hidden Network Processor with Activation-Localized CIM Architecture and Layer-Penetrative Tiling
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HALO-CAT: A Hidden Network Processor with Activation-Localized CIM Architecture and Layer-Penetrative Tiling

Yung-Chin, Chen ; Ando, Shimpei ; Fujiki, Daichi ; Takamaeda-Yamazaki, Shinya ; Yoshioka, Kentaro

arXiv.org, 2023-12

Ithaca: Cornell University Library, arXiv.org

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Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks
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Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks

Symons, Arne ; Linyan Mei ; Colleman, Steven ; Houshmand, Pouya ; Sebastian, Karl ; Verhelst, Marian

arXiv.org, 2022-12

Ithaca: Cornell University Library, arXiv.org

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DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory
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DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory

Duan, Cenlin ; Yang, Jianlei ; He, Xiaolin ; Qi, Yingjie ; Wang, Yikun ; Wang, Yiou ; He, Ziyan ; Bonan Yan ; Wang, Xueyan ; Jia, Xiaotao ; Pan, Weitao ; Zhao, Weisheng

arXiv.org, 2023-10

Ithaca: Cornell University Library, arXiv.org

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