ASUE-RL: Automatic Symmetry Discovery and Uncertainty-Guided Exploration with Autoencoder Navigation for Reinforcement Learning in Analog Circuit Optimization
Published in Design Automation Conference (DAC), 2025
This work introduces ASUE-RL, a novel framework that combines automatic symmetry discovery with uncertainty-guided exploration using autoencoder navigation for enhanced reinforcement learning in analog circuit optimization tasks.
Recommended citation: Wu, H., Jiang, H., Ou, Y., Wang, Z., Wang, Z., Zhou, S., Yuan, B., Lu, Y., & Jiang, J. (2025). "ASUE-RL: Automatic Symmetry Discovery and Uncertainty-Guided Exploration with Autoencoder Navigation for Reinforcement Learning in Analog Circuit Optimization." submitted to Design Automation Conference (DAC). #