May 2023 Our paper "DROPO: Sim-to-Real Transfer with Offline Domain Randomization" has been accepted in Robotics and Autonomous Systems Journal.
Feb 2023 Ellis PhD visiting at TU-Darmstadt for 6 months, under the co-supervision of Prof. Jan Peters, Prof. Georgia Chalvatzaki and Prof. Carlo d'Eramo.
Nov 2022 I attended the National PhD-AI Fall School, discussing topics such as Federated Learning, Domain Adaptation, and Kernel Methods by Prof. Lorenzo Rosasco.
Sep 2022 Our paper "Online vs. Offline Adaptive Domain Randomization Benchmark" will be published in the Springer Proceedings in Advanced Robotics 2023.
Jul 2022 I attended the International Computer Vision Summer School (ICVSS 2022) and won the Reading Group Competition led by Prof. Stefano Soatto.
Hi there! My name is Gabriele. I'm enrolled in the National PhD AI programme at Politecnico di Torino, complemented by the Ellis PhD&Post-Doc programme, and supervised by Prof. Tatiana Tommasi.
My areas of interest include reinforcement learning (RL), computer vision and robotics. Recently, I've been working on transferring RL robot policies from simulation to the real world.
The main goal of my research is to allow next-generation robots to be trained safely and efficiently through learning-based algorithms.