26 citations · 31 across the 6 of their papers we have counts for
8 papers
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report
Jerrod Wigmore, Brooke Shrader, Eytan Modiano
Deep Reinforcement Learning (DRL) has become a powerful tool for developing control policies in queueing networks, but the common use of Multi-layer Perceptron (MLP) neural network…
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report
Jerrod Wigmore, Brooke Shrader, Eytan Modiano
Deep Reinforcement Learning (DRL) offers a powerful approach to training neural network control policies for stochastic queuing networks (SQN). However, traditional DRL methods rel…
Throughput Maximization in Uncooperative Spectrum Sharing Networks
Thomas Stahlbuhk, Brooke Shrader, Eytan Modiano
Throughput-optimal transmission scheduling in wireless networks has been a well considered problem in the literature, and the method for achieving optimality, MaxWeight scheduling,…
Learning Algorithms for Minimizing Queue Length Regret
Thomas Stahlbuhk, Brooke Shrader, Eytan Modiano
We consider a system consisting of a single transmitter/receiver pair and channels over which they may communicate. Packets randomly arrive to the transmitter's queue and wait…
Feedback Capacity of the Compound Channel
Brooke Shrader, Haim Permuter
In this work we find the capacity of a compound finite-state channel with time-invariant deterministic feedback. The model we consider involves the use of fixed length block codes.…
On the Shannon capacity and queueing stability of random access multicast
Brooke Shrader, Anthony Ephremides
We study and compare the Shannon capacity region and the stable throughput region for a random access system in which source nodes multicast their messages to multiple destination…