Factored Reinforcement Learning for Auto-scaling in Tandem Queues.

Thomas Tournaire Yue Jin Armen Aghasaryan Hind Castel-Taleb Emmanuel Hyon

Published in: NOMS (2022)

Keyphrases

reinforcement learning
state space
factored markov decision processes
function approximation
reinforcement learning algorithms
processor sharing
waiting times
learning algorithm
dynamic programming

control problems
queueing networks
temporal difference
model free
markov decision problems
optimal control
optimal policy
learning problems
learning process

machine learning
retrial queue
service rates
single server
data structure
action space
finite capacity
multi agent

priority queue
reinforcement learning methods
partially observable markov decision processes
least squares
supervised learning
linear programming
data sets
queue length