Multi-dimensional User Scheduling by MDP and Reinforcement Learning
Xie, Fengze
Loading…
Permalink
https://hdl.handle.net/2142/125051
Description
Title
Multi-dimensional User Scheduling by MDP and Reinforcement Learning
Author(s)
Xie, Fengze
Issue Date
2020-05-01
Keyword(s)
User Scheduling; Markov Decision Process; Reinforcement Learning
Date of Ingest
2024-11-08T09:40:34-06:00
Abstract
In this project we try to simulate user scheduling in high dimension. We have two machines that can serve multiple users at one time. Each machine has two-dimensional spaces, the memory and the CPU. There are two types of user that take different amounts of resource. Each user will arrive at the system and stay in the machine in a Poisson process. We want to maximize the average number of users in the system by using MDP and reinforcement learning separately.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
