Intelligent Inventory Control via Ruminative Reinforcement Learning
Inventory management is a sequential decision problem that can be solved with reinforcement learning (RL). Although RL in its conventional form does not require domain knowledge, exploiting such knowledge of problem structure, usually available in inventory management, can be beneficial to improving...
Saved in:
Main Authors: | Tatpong Katanyukul, Edwin K. P. Chong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/238357 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving a Joint Pricing and Inventory Control Problem for Perishables via Deep Reinforcement Learning
by: Rui Wang, et al.
Published: (2021-01-01) -
Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning
by: Bingyi LIU, et al.
Published: (2023-11-01) -
Thrust and Pressure Control in a Solid Propulsion System via Reinforcement Learning
by: Zuohao Hua, et al.
Published: (2024-12-01) -
Cryptosporidiosis in ruminants
by: Ferda Sevinç -
Peste Des Petits Ruminants (PPR) in Dromedary Camels and Small Ruminants in Mandera and Wajir Counties of Kenya
by: R. N. Omani, et al.
Published: (2019-01-01)