Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA
2. Samsung Electronics,Memory Division,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10202212/10202164/10202224.pdf?arnumber=10202224
Reference10 articles.
1. Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks
2. Deep Reinforcement Learning-based Power Distribution Network Structure Design Optimization Method for High Bandwidth Memory Interposer
3. Reinforcement learning in robust markov decision processes;lim;Advances in neural information processing systems,2013
4. Jitter-Aware Economic PDN Optimization With a Genetic Algorithm
5. Metaheuristic Optimization of Decoupling Capacitors in a Power Delivery Network
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1. Analysis and Design of the Interposer PDN With Optimal Arrangement of Decoupling Capacitors;IEEE Transactions on Components, Packaging and Manufacturing Technology;2024-02
2. Machine Learning for EMC/SI/PI – Blackbox, Physics Recovery, and Decision Making;IEEE Electromagnetic Compatibility Magazine;2023
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