163 citations · 191 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
GLASS: Global to Local Attention for Scene-Text Spotting
Roi Ronen, Shahar Tsiper, Oron Anschel +3
In recent years, the dominant paradigm for text spotting is to combine the tasks of text detection and recognition into a single end-to-end framework. Under this paradigm, both tas…
stat.ML2016★ 27 cited
Model-based Adversarial Imitation Learning
Nir Baram, Oron Anschel, Shie Mannor
Generative adversarial learning is a popular new approach to training generative models which has been proven successful for other related problems as well. The general idea is to…
cs.AI2016★ 163 cited
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
Instability and variability of Deep Reinforcement Learning (DRL) algorithms tend to adversely affect their performance. Averaged-DQN is a simple extension to the DQN algorithm, bas…