Search Results for author: Eyal de Lara

Found 2 papers, 1 papers with code

Optimizing Data Collection in Deep Reinforcement Learning

no code implementations • 15 Jul 2022 • James Gleeson, Daniel Snider, Yvonne Yang, Moshe Gabel, Eyal de Lara, Gennady Pekhimenko

We show that simulator kernel fusion speedups with a simple simulator are $11. 3\times$ and increase by up to $1024\times$ as simulator complexity increases in terms of memory bandwidth requirements.

reinforcement-learning Reinforcement Learning (RL)

Paper
Add Code

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads

1 code implementation • 8 Feb 2021 • James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko

Deep reinforcement learning (RL) has made groundbreaking advancements in robotics, data center management and other applications.

Management reinforcement-learning +1

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.