2 papers
cs.LG2025
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…
cs.AI2024
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…