103 citations · 104 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
Modern representation learning methods often struggle to adapt quickly under non-stationarity because they suffer from catastrophic forgetting and decaying plasticity. Such problem…
cs.LG2022
HesScale: Scalable Computation of Hessian Diagonals
Mohamed Elsayed, A. Rupam Mahmood
Second-order optimization uses curvature information about the objective function, which can help in faster convergence. However, such methods typically require expensive computati…
cs.MA2020★ 103 cited
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently i…