Reinforcement learning based approach for the optimization of mechanical properties of additively manufactured specimens
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-023-01257-0.pdf
Reference15 articles.
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2. Li, C., Zheng, P., Yin, Y., Pang, Y.M., Huo, S.: An AR-assisted deep reinforcement learning-based approach towards mutual-cognitive safe human-robot interaction. Robot. Comput.-Integr. Manuf. 80, 102471 (2023)
3. Shibata, K., Jimbo, T., Matsubara, T.: Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. Robot. Auton. Syst. 159, 104307 (2023)
4. Rey, D., Hammad, A.W., Saberi, M.: Vaccine allocation policy optimization and budget sharing mechanism using reinforcement learning. Omega 115, 102783 (2023)
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