A Deep Reinforcement Learning Approach for Global Routing

20 June 2019

Papers citing "A Deep Reinforcement Learning Approach for Global Routing"

7 / 7 papers shown

Title
XRoute Environment: A Novel Reinforcement Learning Environment for Routing Zhanwen Zhou H. Zhuo Xiaowu Zhang Qiyuan Deng 25 0 0 23 May 2023
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search Ayush Raina Jonathan Cagan Christopher McComb AI4CE 31 9 0 28 Nov 2022
Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges Satwik Patnaik Vasudev Gohil Hao Guo Jeyavijayan Jeyavijayan Rajendran 18 3 0 29 Aug 2022
On Joint Learning for Solving Placement and Routing in Chip Design Ruoyu Cheng Junchi Yan 17 74 0 30 Oct 2021
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning Haoxing Ren Matthew R. Fojtik Brucek Khailany OffRL 28 12 0 09 Jul 2021
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks Youbiao He F. S. Bao 8 13 0 24 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 19 82 0 06 Jun 2020