Deep Reinforcement Learning for Autonomous Navigation in Intralogistics, 2023 | , , , , , and ,
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Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques (2022), in: Frontiers Neuroscience | , , , , , , and ,
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End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments, The 2022 IEEE-RAS International Conference on Humanoid Robots, 2022 | , , , , and ,
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Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics (2022), in: Applied Sciences special issue "Intelligent Robotics", 12:6(3153) | , , , , and ,
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Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience (2021), in: Advanced Intelligent Systems | , , , , , and ,
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Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation (2021), in: Frontiers Robot. AI - Humanoid Robotics | , , , , and ,
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ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Virtual Conference, Conference on Robot Learning (CoRL), 2020 | , , , , and ,
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Parameter Optimization for Loop Closure Detection in Closed Environments (2020), in: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS)(8) | , , , and ,
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Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks, Berlin, Germany, Proceedings of International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2020 | , , , , , and ,
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