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Constrained Model-Free Reinforcement Learning for Process Optimization
v1v2 (latest)

Constrained Model-Free Reinforcement Learning for Process Optimization

16 November 2020
Elton Pan
Panagiotis Petsagkourakis
M. Mowbray
Dongda Zhang
Antonio del Rio-Chanona
ArXiv (abs)PDFHTML

Papers citing "Constrained Model-Free Reinforcement Learning for Process Optimization"

4 / 4 papers shown
Title
Learning Cooperative Oversubscription for Cloud by Chance-Constrained
  Multi-Agent Reinforcement Learning
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng
Lu Wang
Fangkai Yang
Bo Qiao
Hang Dong
...
Jun Wang
Si Qin
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
49
9
0
21 Nov 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
Nghia Duong-Trung
Stefan Born
Jong Woo Kim
M. Schermeyer
Katharina Paulick
...
Thorben Werner
Randolf Scholz
Lars Schmidt-Thieme
Peter Neubauer
Ernesto Martinez
78
20
0
02 Sep 2022
Distributional Reinforcement Learning for Scheduling of Chemical
  Production Processes
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
M. Mowbray
Dongda Zhang
Ehecatl Antonio del Rio Chanona
OffRL
54
6
0
01 Mar 2022
Safe Chance Constrained Reinforcement Learning for Batch Process Control
Safe Chance Constrained Reinforcement Learning for Batch Process Control
M. Mowbray
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
Dongda Zhang
OffRL
62
36
0
23 Apr 2021
1