DOIAbstract
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosoph
published_or_final_versionIndustrial and Manufacturing Systems EngineeringDoctoralDoctor of Philosoph
Submitted for a Ph.D. degreeAvailable from British Library Document Supply Centre-DSC:8723.249(426) ...
To improve the assembly quality during production, expert systems are often used. These experts typi...
Supplementary videos for paper " Dense reinforcement learning for safety validation of autonomous ...
Presentation of an application of Neural Network trained with Reinforcement Learning method aimed to...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN017347 / BLDSC - British Library D...
Advisors: Brianno D. Coller.Committee members: Sachit Butail; Ji-Chul Ryu.Includes illustrations.Inc...
Reinforcement Learning is a unique machine learning paradigm that has the ability to mimic behavi...
The primary goal for this research is to obtain the optimal or near-optimal joint production and mai...
Braun M, Wrede S. Boosting Reinforcement Learning of Robotic Assembly Tasks by Constraining the Acti...
A neural network controller is proposed for the motion control of robot manipulators with force/torq...
The assembly industry is shifting more towards customizable products, or requiring assembly of small...
Decision-making in a complex, dynamic, interconnected, and data-intensive industrial environment can...
The Assembly-to-order production strategy is widely used to fulfill the growing demand for customiza...
This is codes and data for the paper "Reinforcement Learning for Process Control with Application in...
Literature shows that reinforcement learning (RL) and the well-known optimization algorithms derived...
Submitted for a Ph.D. degreeAvailable from British Library Document Supply Centre-DSC:8723.249(426) ...
To improve the assembly quality during production, expert systems are often used. These experts typi...
Supplementary videos for paper " Dense reinforcement learning for safety validation of autonomous ...
Presentation of an application of Neural Network trained with Reinforcement Learning method aimed to...
SIGLEAvailable from British Library Document Supply Centre-DSC:DXN017347 / BLDSC - British Library D...
Advisors: Brianno D. Coller.Committee members: Sachit Butail; Ji-Chul Ryu.Includes illustrations.Inc...
Reinforcement Learning is a unique machine learning paradigm that has the ability to mimic behavi...
The primary goal for this research is to obtain the optimal or near-optimal joint production and mai...
Braun M, Wrede S. Boosting Reinforcement Learning of Robotic Assembly Tasks by Constraining the Acti...
A neural network controller is proposed for the motion control of robot manipulators with force/torq...
The assembly industry is shifting more towards customizable products, or requiring assembly of small...
Decision-making in a complex, dynamic, interconnected, and data-intensive industrial environment can...
The Assembly-to-order production strategy is widely used to fulfill the growing demand for customiza...
This is codes and data for the paper "Reinforcement Learning for Process Control with Application in...
Literature shows that reinforcement learning (RL) and the well-known optimization algorithms derived...
Submitted for a Ph.D. degreeAvailable from British Library Document Supply Centre-DSC:8723.249(426) ...
To improve the assembly quality during production, expert systems are often used. These experts typi...
Supplementary videos for paper " Dense reinforcement learning for safety validation of autonomous ...
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