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Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning., and . CoRR, (2020)The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing., , , , , , , , , and 2 other author(s). CoRR, (2023)Stabilizing deep Q-learning with Q-graph-based bounds., , , and . Int. J. Robotics Res., 42 (9): 633-654 (August 2023)The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing., , , , , , , , , and 2 other author(s). Robotics Comput. Integr. Manuf., (February 2024)Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG., , , and . IROS, page 9080-9087. IEEE, (2020)End-to-End Eye Movement Detection Using Convolutional Neural Networks., and . CoRR, (2016)Improving sample-efficiency for model-free off-policy deep reinforcement learning in contact-rich manipulation.. University of Stuttgart, Germany, (2021)Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation., , , and . BMVC, page 445. BMVA Press, (2022)Recognition of curiosity using eye movement analysis., , , and . UbiComp/ISWC Adjunct, page 185-188. ACM, (2015)Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation., , , and . IEEE Robotics Autom. Lett., 4 (4): 4042-4047 (2019)