3 citations · 9 across the 20 of their papers we have counts for
3 papers · 2 filters
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization
Jimmy Li, Igor Kozlov, Di Wu +2
The use of learning-based methods for optimizing cellular radio access networks (RAN) has received increasing attention in recent years. This coincides with a rapid increase in the…
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang +3
Radio Access Networks (RANs) for telecommunications represent large agglomerations of interconnected hardware consisting of hundreds of thousands of transmitting devices (cells). S…
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois Robert Hogan +2
In this paper, hypernetworks are trained to generate behaviors across a range of unseen task conditions, via a novel TD-based training objective and data from a set of near-optimal…