4 citations · 5 across the 4 of their papers we have counts for
4 papers
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches
Dan Elbaz, Oren Salzman
Offline Reinforcement Learning (RL) algorithms learn a policy using a fixed training dataset, which is then deployed online to interact with the environment and make decisions. Tra…
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
Dan Elbaz, Gal Novik, Oren Salzman
Offline reinforcement-learning (RL) algorithms learn to make decisions using a given, fixed training dataset without online data collection. This problem setting is captivating bec…
Perceptual audio loss function for deep learning
Dan Elbaz, Michael Zibulevsky
PESQ and POLQA , are standards are standards for automated assessment of voice quality of speech as experienced by human beings. The predictions of those objective measures should…
End to End Deep Neural Network Frequency Demodulation of Speech Signals
Dan Elbaz, Michael Zibulevsky
Frequency modulation (FM) is a form of radio broadcasting which is widely used nowadays and has been for almost a century. We suggest a software-defined-radio (SDR) receiver for FM…