Reinforcement learning based resource allocation in business process management

By Zhengxing Huang, Wil M.P. van der Aalst, Xudong Lu, Huilong Duan. 2011

156 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Information Systems, Management Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Anil K. Jain
2. Jiayu Zhou
3. Arun A. Ross
4. Karthik Nandakumar
5. Fabio Roli
6. Giorgio Fumera
7. Battista Biggio
8. Sharath Pankanti

In Management Information Systems

1. Shamim Nemati
2. Jiayu Zhou
3. Chao Yu
4. Kaixiang Lin
5. Jiming Liu

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, methodology): “[279] formulated the allocation optimization problems in BPM as an MDP and used basic Q-learning algorithm to derive an optimal solution.”
• Transfer Learning in Deep Reinforcement Learning: A Survey (2020, background): “RL techniques have shown to help in many healthcare tasks, including dynamic treatment regimes [156], [157], automatic medical diagnosis [158], [159], health resource scheduling [160], [161], and drug discovery and development, [162], [163] etc.”