Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology

5 April 2024

Papers citing "Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology"

8 / 8 papers shown

Title
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks Saidul Islam Hanae Elmekki Ahmed Elsebai Jamal Bentahar Najat Drawel Gaith Rjoub Witold Pedrycz ViT MedIm 77 198 0 11 Jun 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 62 32 0 07 Mar 2023
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 77 50 0 14 Jun 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen Jun Wang Yaodong Yang 96 188 0 30 May 2022
Machine learning and data analytics for the IoT Erwin Adi A. Anwar Zubair A. Baig S. Zeadally 45 186 0 30 Jun 2020
Lite Transformer with Long-Short Range Attention Zhanghao Wu Zhijian Liu Ji Lin Chengyue Wu Song Han 60 322 0 24 Apr 2020
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 91 366 0 13 Oct 2019
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 107 880 0 11 Nov 2016