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Learning to act: a Reinforcement Learning approach to recommend the best next activities

Learning to act: a Reinforcement Learning approach to recommend the best next activities

Stefano Branchi
Chiara Di Francescomarino
Chiara Ghidini
David Massimo
Francesco Ricci
M. Ronzani
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Papers citing "Learning to act: a Reinforcement Learning approach to recommend the best next activities"

5 / 5 papers shown
Title
Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents
Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents
Bart J. Verhoef
Xixi Lu
15
2
0
02 Oct 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Andreas Metzger
Tristan Kley
Aristide Rothweiler
Klaus Pohl
42
2
0
12 Jul 2023
Recommending the optimal policy by learning to act from temporal data
Recommending the optimal policy by learning to act from temporal data
Stefano Branchi
A. Buliga
Chiara Di Francescomarino
Chiara Ghidini
Francesca Meneghello
M. Ronzani
OffRL
19
2
0
16 Mar 2023
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
Ivan Donadello
Chiara Di Francescomarino
F. Maggi
Francesco Ricci
Aladdin Shikhizada
23
11
0
09 Nov 2022
AI-Augmented Business Process Management Systems: A Research Manifesto
AI-Augmented Business Process Management Systems: A Research Manifesto
Marlon Dumas
Fabiana Fournier
Lior Limonad
Andrea Marrella
Marco Montali
...
Dirk Fahland
A. Gal
M. Rosa
Hagen Volzer
Ingo Weber
65
76
0
30 Jan 2022