Klaus Diepold

Multi-agent deep reinforcement learning: a survey

Sven Gronauer, Klaus Diepold · Artificial Intelligence Review · 2021 · 734 citations · Full text

First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning

Johannes Günther, Patrick M. Pilarski, Gerhard Helfrich et al. · Procedia Technology · 2014 · 306 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +19

Best Practices for QoE Crowdtesting: QoE Assessment With Crowdsourcing

Christian Keimel, Matthias Hirth, Bruno Gardlo et al. · IEEE Transactions on Multimedia · 2014 · 279 citations

Engineering, Online Experiment, Communication +16

Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning

Johannes Günther, Patrick M. Pilarski, Gerhard Helfrich et al. · Mechatronics · 2015 · 174 citations

Artificial Intelligence, Deep Neural Networks, Engineering +7

Artificial Cognition in Production Systems

Alexander Bannat, Thibault Bautze, Michael Beetz et al. · IEEE Transactions on Automation Science and Engineering · 2010 · 127 citations

Human-robot Collaborative Assembly, Engineering, Industrial Engineering +20