News
Oct 2023 I presented two works as a first author at this year's IROS 2023! Check out (1) paper #1 on Robotic Spray Painting and (2) paper #2 on Domain Randomization for Soft Robots.
Jun 2023 I attended the Reinforcement Learning Summer School (RLSS 2023) in Barcellona, and won the social beach volley tournament event!
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 9 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.
About
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 the ELIZA School of Excellence programme. I'm supervised by Prof. Tatiana Tommasi and co-supervised by Prof. Jan Peters.
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.
Publications
Recordings
RL course project presentation
March 11th, 2024 ・ 11 minsPresentation of the RL project to the students of the course of "Machine Learning and Deep Learning" at Politecnico di Torino.
Intro to RL for Supervised Learners (Seminar)
July 27th, 2023 ・ 38 minsA high-level introduction to Reinforcement Learning concepts tailored to an audience familiar with supervised learning. Recording of weekly seminar at Polytechnic of Turin.
Practical session on Policy Gradient (Reinforcement Learning course @ TU Darmstadt)
June 22, 2023 ・ 1 hour 13 minsRecording of practical session on Policy Gradient (PG) for students of the Reinforcement Learning course @ TU Darmstadt. Derivations of the policy gradient and the optimal baseline are shown, together with practical examples for running PG algorithms with Mushroom RL library.