Robust path following on rivers using bootstrapped reinforcement learning. Ocean Engineering, (298):117207, 2024. [PUMA: Path waterways Autonomous Restricted vessel learning; surface reinforcement Deep following;] URL
Self-organized free-flight arrival for urban air mobility. Transportation Research Part C: Emerging Technologies, (167):104806, 2024. [PUMA: Urban mobility eVTOL air learning reinforcement Deep] URL
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. Neurocomputing, (568):127097, 2024. [PUMA: Training Dynamic environment Collision Reinforcement learning metric risk avoidance obstacle] URL
Vessel-following model for inland waterways based on deep reinforcement learning. Ocean Eng., (281)114679:114679, Elsevier BV, August 2023. [PUMA: waterways inland deep Vessel-following learning reinforcement model]
Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (165):634-653, 2023. [PUMA: COLREG Autonomous learning, surface vehicle reinforcement Recurrency, Deep] URL
Chapter 5 - Artificial intelligence (AI) enhanced nanomotors and active matter. In Yuebing Zheng, and Zilong Wu (Eds.), Intelligent Nanotechnology, 113--144, Elsevier, 2023. [PUMA: Active agent Feedback particles, learning, Optical Reinforcement reinforcement Multi control control, Machine] URL
Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 866-873, 2023. [PUMA: Videos Task Autonomous Measurement vehicles Reinforcement Statistical learning analysis Automobiles]
Steuerung von Compliant-Mechanismen durch Reinforcement Learning. GETRIEBETAGUNG 2022, 121, 2022. [PUMA: Learning Compliant-Mechanismen Steuerung Reinforcement]
Deep reinforcement learning with artificial microswimmers. Emerging Topics in Artificial Intelligence (ETAI) 2022, (12204):104--110, 2022. [PUMA: microswimmers artificial learning reinforcement Deep]