1-4 of 4
Reinforcement learning
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems

Lingxiang Yun, Jingwen Wang, Minkun Xiao, Lin Li
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A004, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104452
https://doi.org/10.1115/MSEC2023-104452
View Paper titled, Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems
Open the PDF for Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems in another window
Topics: Manufacturing systems, Production control, Reinforcement learning
Proceedings Papers

Robotic Grasping Training Using Deep Reinforcement Learning With Policy Guidance Mechanism

Junying Yao, Yongkui Liu, Tingyu Lin, Xubin Ping, He Xu, Wenxiao Wang, Yingying Xiao, Lin Zhang, Lihui Wang
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A015, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63974
https://doi.org/10.1115/MSEC2021-63974
View Paper titled, Robotic Grasping Training Using Deep Reinforcement Learning With Policy Guidance Mechanism
Open the PDF for Robotic Grasping Training Using Deep Reinforcement Learning With Policy Guidance Mechanism in another window
Topics: Grasping, Platinum group metals, Reinforcement learning, Robots, Algorithms, Engineering simulation, Manufacturing, Simulation
Proceedings Papers

Multi-Robotic Disassembly Line Balancing Using Deep Reinforcement Learning

Kai Mei, Yilin Fang
Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A005, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63522
https://doi.org/10.1115/MSEC2021-63522
View Paper titled, Multi-Robotic Disassembly Line Balancing Using Deep Reinforcement Learning
Open the PDF for Multi-Robotic Disassembly Line Balancing Using Deep Reinforcement Learning in another window
Topics: Reinforcement learning, Robotics
Proceedings Papers

A Framework for Industrial Robot Training in Cloud Manufacturing With Deep Reinforcement Learning

Yongkui Liu, Junying Yao, Tingyu Lin, He Xu, Feng Shi, Yingying Xiao, Lin Zhang, Lihui Wang
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A024, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8355
https://doi.org/10.1115/MSEC2020-8355
View Paper titled, A Framework for Industrial Robot Training in Cloud Manufacturing With Deep Reinforcement Learning
Open the PDF for A Framework for Industrial Robot Training in Cloud Manufacturing With Deep Reinforcement Learning in another window
Topics: Manufacturing, Reinforcement learning, Robots