Exploring tabular Q-learning for single machine job dispatching
Reinforcement Learning (RL) studies the problem of how an autonomous agent can learn, while interacting with its environment, to choose the appropriate actions for achieving its goals. In this report, we will be exploring the application of tabular Q-Learning, a type of RL, to single machine job dis...
Saved in:
Main Author: | Chai, Jeffrey Zhi Yang |
---|---|
Other Authors: | Sivakumar A. I. |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77872 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Yard crane dispatching to minimize maximum tardiness of the jobs
by: Wan, Zhi Yong
Published: (2014) -
Learning to dispatch for job shop scheduling via deep reinforcement learning
by: ZHANG, Cong, et al.
Published: (2020) -
Optimising job dispatching at a smart pharmacy
by: Liaw, Ying Qi
Published: (2019) -
Yard crane dispatching to minimize job tardiness in container terminals
by: Lim, Wei Lin.
Published: (2012) -
Embedding simulation in yard crane dispatching to minimize job tardiness in container terminals
by: Huang, Shell Ying, et al.
Published: (2013)