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Journal Articles

Heuristics for Solver-Aware Systems Architecting: A Reinforcement Learning Approach

Vikranth S. Gadi, Taylan G. Topcu, Zoe Szajnfarber, Jitesh H. Panchal
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2025, 147(2): 021704.
Paper No: MD-24-1061
https://doi.org/10.1115/1.4066441
Published Online: September 23, 2024
View Article titled, Heuristics for Solver-Aware Systems Architecting: A Reinforcement Learning Approach
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Topics: Design, Reinforcement learning, Preferences, Decision making, Modeling
Journal Articles

Discrete Structural Design Synthesis: A Hierarchical-Inspired Deep Reinforcement Learning Approach Considering Topological and Parametric Actions

Maximilian E. Ororbia, Gordon P. Warn
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2024, 146(9): 091707.
Paper No: MD-24-1011
https://doi.org/10.1115/1.4065488
Published Online: June 3, 2024
View Article titled, Discrete Structural Design Synthesis: A Hierarchical-Inspired Deep Reinforcement Learning Approach Considering Topological and Parametric Actions
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Topics: Design, Reinforcement learning, Topology, Structural design, Trusses (Building), Stress
Journal Articles

Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct

Mingfei Jiang, Zhenjun Ming, Chuanhao Li, Janet K. Allen, Farrokh Mistree
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051711.
Paper No: MD-23-1466
https://doi.org/10.1115/1.4064672
Published Online: March 18, 2024
View Article titled, Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
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Topics: Design, Reinforcement learning, Robots, Self-organization, Multi-robot systems
Journal Articles

Dynamic Resource Allocation in Systems-of-Systems Using a Heuristic-Based Interpretable Deep Reinforcement Learning

Qiliang Chen, Babak Heydari
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091711.
Paper No: MD-22-1083
https://doi.org/10.1115/1.4055057
Published Online: August 8, 2022
View Article titled, Dynamic Resource Allocation in Systems-of-Systems Using a Heuristic-Based Interpretable Deep Reinforcement Learning
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Topics: Reinforcement learning, Resource allocation, Silicon-on-sapphire, Algorithms
Journal Articles

Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design

Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091705.
Paper No: MD-21-1780
https://doi.org/10.1115/1.4054631
Published Online: June 13, 2022
View Article titled, Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design
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Topics: Algorithms, Design, Experimental design, Optimization, Airfoils, Reinforcement learning
Journal Articles

Analyzing Real Options and Flexibility in Engineering Systems Design Using Decision Rules and Deep Reinforcement Learning

Cesare Caputo, Michel-Alexandre Cardin
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021705.
Paper No: MD-21-1236
https://doi.org/10.1115/1.4052299
Published Online: September 21, 2021
View Article titled, Analyzing Real Options and Flexibility in Engineering Systems Design Using Decision Rules and Deep Reinforcement Learning
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Topics: Design, Reinforcement learning, Uncertainty, Engineering systems and industry applications
Journal Articles

Fault-Tolerant Control of Programmable Logic Controller-Based Production Systems With Deep Reinforcement Learning

Jonas Zinn, Birgit Vogel-Heuser, Marius Gruber
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 072004.
Paper No: MD-20-1650
https://doi.org/10.1115/1.4050624
Published Online: April 8, 2021
View Article titled, Fault-Tolerant Control of Programmable Logic Controller-Based Production Systems With Deep Reinforcement Learning
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Topics: Actuators, Algorithms, Cranes, Manufacturing systems, Reinforcement learning, Simulation, Space, Control equipment, Sensors, Multi-agent systems
Journal Articles

Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation

Qiliang Chen, Babak Heydari, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 071701.
Paper No: MD-20-1388
https://doi.org/10.1115/1.4049531
Published Online: January 29, 2021
View Article titled, Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation
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Topics: Algorithms, Artificial neural networks, Manufacturing, Reinforcement learning, Robotics, Robots, Machinery, Resilience, Inspection, Materials handling
Journal Articles

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Nandan Sudarsanam, Ramya Chandran, Daniel D. Frey
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031108.
Paper No: MD-19-1410
https://doi.org/10.1115/1.4045603
Published Online: December 23, 2019
View Article titled, Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size
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Topics: Algorithms, Design, Design theory, Experimental design, Machine learning, Modeling, Noise (Sound), Optimization, Probability, Resource allocation
Journal Articles

A Deep Reinforcement Learning Approach for Global Routing

Haiguang Liao, Wentai Zhang, Xuliang Dong, Barnabas Poczos, Kenji Shimada, Levent Burak Kara
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2020, 142(6): 061701.
Paper No: MD-19-1460
https://doi.org/10.1115/1.4045044
Published Online: November 25, 2019
View Article titled, A Deep Reinforcement Learning Approach for Global Routing
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Topics: Algorithms, Design, Generators, Heat, Optimization, Pins (Engineering), Reinforcement learning, Wire, Circuits