معرفی
Lorenzo Steccanella is a Postdoctoral Researcher at Universitat Pompeu Fabra in Barcelona, Spain, specializing in Reinforcement Learning and Artificial Intelligence. He holds a Ph.D. in Reinforcement Learning from the same institution (2023), focusing on Hierarchical Reinforcement Learning and Representation Learning. His research emphasizes long-horizon decision-making, generative vision models, and applications in autonomous systems.
**Education**: Ph.D. in Reinforcement Learning (Universitat Pompeu Fabra, 2023).
**Research Interests**: Hierarchical Reinforcement Learning, Representation Learning, Computer Vision for Robotics, Multi-Agent Systems, and Autonomous Navigation. He has contributed to projects such as obstacle detection for autonomous boats (Blue Brain Project/EPFL) and localization algorithms for mobile robots (University of Verona).
**Articles Trends**: His work spans Reinforcement Learning theory, computer vision applications in robotics, and multi-agent coordination. Recent publications emphasize hierarchical methods and representation learning, while earlier work includes path planning for articulated vehicles and Petri net-based multi-robot systems.
**Awards**: No scientific awards explicitly mentioned.
**Labs/Teams**: Current affiliation with Universitat Pompeu Fabra's AI/ML group. Previously contributed to the Blue Brain Project (EPFL) and the Intcatch Project at the University of Verona.
