877 citations · 2k across the 39 of their papers we have counts for
4 papers · 1 filter
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean, Evangelos Chatzaroulas, Jordan Terry +3
Multi-task reinforcement learning (MTRL) aims to endow a single agent with the ability to perform well on multiple tasks. Recent works have focused on developing novel sophisticate…
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
The design of methods for inference from time sequences has traditionally relied on statistical models that describe the relation between a latent desired sequence and the observed…
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
Symbol detection plays an important role in the implementation of digital receivers. In this work, we propose ViterbiNet, which is a data-driven symbol detector that does not requi…
Detection Algorithms for Communication Systems Using Deep Learning
Nariman Farsad, Andrea Goldsmith
The design and analysis of communication systems typically rely on the development of mathematical models that describe the underlying communication channel, which dictates the rel…