Reinforcement Learning with Discrete Event Simulation: The Premise, Reality, and Promise-Reference-Cited by-同舟云学术

Reinforcement Learning with Discrete Event Simulation: The Premise, Reality, and Promise

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Winter Simulation Conference (WSC)
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Author:

Belsare Sahil¹,Badilla Emily Diaz¹,Dehghanimohammadabadi Mohammad¹

Affiliation:

1. Northeastern University,Mechanical and Industrial Engineering Department,Boston,MA,USA,02115

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015503.pdf?arnumber=10015503

Reference27 articles.

1. Architectures for Combining Discrete-event Simulation and Machine Learning;greasley;Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications,0

2. Real-Time Decision Making for a Car Manufacturing Process Using Deep Reinforcement Learning

3. A Reinforcement Learning Algorithm to Minimize the Mean Tardiness of a Single Machine with Controlled Capacity

4. On Scheduling a Photolithograhy Toolset Based on a Deep Reinforcement Learning Approach with Action Filter

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