2 citations · 2 across the 4 of their papers we have counts for
4 papers
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective
Renye Yan, Yaozhong Gan, You Wu +4
The imbalance of exploration and exploitation has long been a significant challenge in reinforcement learning. In policy optimization, excessive reliance on exploration reduces lea…
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
Lunshuai Pan, Pushen Zuo, Yubiao Luo +2
Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving li…
Post-Layout Simulation Driven Analog Circuit Sizing
Xiaohan Gao, Haoyi Zhang, Siyuan Ye +6
Post-layout simulation provides accurate guidance for analog circuit design, but post-layout performance is hard to be directly optimized at early design stages. Prior work on anal…
Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches
Ru Huang, Kai Chang, Huan He +2
We propose a data-driven and machine-learning-based approach to compute non-Galerkin coarse-grid operators in algebraic multigrid (AMG) methods, addressing the well-known issue of…