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Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach2021 IEEE International Conference on Robotic Computing (IRC) conference-paper Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
9citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks — A Reward Curriculum Approach2022 International Journal of Semantic Computing article Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
7citations -
Experimental quantum speed-up in reinforcement learning agents2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Quantum Computing Algorithms and Architecture Open access
Valeria Saggio, Beate E. Asenbeck, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, +5 more
0citations -
Experimental quantum speed-up in reinforcement learning agents2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Quantum Computing Algorithms and Architecture Open access
Valeria Saggio, Beate E. Asenbeck, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, +5 more
0citations