4 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 3 cited
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search
Sam Green, Craig M. Vineyard, Ryan Helinski +1
Early neural network architectures were designed by so-called "grad student descent". Since then, the field of Neural Architecture Search (NAS) has developed with the goal of algor…
cs.LG2019★ 4 cited
Distillation Strategies for Proximal Policy Optimization
Sam Green, Craig M. Vineyard, Çetin Kaya Koç
Vision-based deep reinforcement learning (RL) typically obtains performance benefit by using high capacity and relatively large convolutional neural networks (CNN). However, a larg…
cs.LG2018
Visual Diagnostics for Deep Reinforcement Learning Policy Development
Jieliang Luo, Sam Green, Peter Feghali +2
Modern vision-based reinforcement learning techniques often use convolutional neural networks (CNN) as universal function approximators to choose which action to take for a given v…