research
∙
02/16/2023
FOSI: Hybrid First and Second Order Optimization
Though second-order optimization methods are highly effective, popular a...
share
research
∙
07/15/2022
Optimizing Data Collection in Deep Reinforcement Learning
Reinforcement learning (RL) workloads take a notoriously long time to tr...
research
∙
02/08/2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
Deep reinforcement learning (RL) has made groundbreaking advancements in...
research
∙
02/21/2020
It's Not What Machines Can Learn, It's What We Cannot Teach
Can deep neural networks learn to solve any task, and in particular prob...
research
∙
07/26/2019
Taming Momentum in a Distributed Asynchronous Environment
Although distributed computing can significantly reduce the training tim...
research
∙
06/17/2019
