2 papers
cs.LG2019
The Knowledge Within: Methods for Data-Free Model Compression
Matan Haroush, Itay Hubara, Elad Hoffer +1
Recently, an extensive amount of research has been focused on compressing and accelerating Deep Neural Networks (DNN). So far, high compression rate algorithms require part of the…
cs.LG2018
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Tom Zahavy, Matan Haroush, Nadav Merlis +2
Learning how to act when there are many available actions in each state is a challenging task for Reinforcement Learning (RL) agents, especially when many of the actions are redund…