I am a Postdoctoral Scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory (BAIR) working with Sergey Levine.
I previously received my PhD from TU Darmstadt (Germany) under the supervision of Jan Peters and Marc Deisenroth, a M.Sc. in Machine Learning and Data Mining from the Aalto university (Finland), and a B.Sc. in Computer Science from the Università degli studi di Palermo (Italy).
My scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning.
Some of the research topics that I am currently developing include: Deep Reinforcement Learning, Bayesian Optimization, Dynamics Modeling, and Tactile Sensing.
- 16 Oct 2017: The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? is now on available on arxiv.
- 04 Oct 2017: Invited talk at University of Southern California about “Learning to Grasp from Vision and Touch”.
- Sep 2017: I am organizing the NIPS Workshop on Meta-learning (MetaLearn) together with Frank Hutter, Hugo Larochelle, and Sergey Levine. The submission deadline is 01 November 2017!
- Sep 2017: Two papers accepted at CoRL: The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?, and MBMF: Model-Based Priors for Model-Free Reinforcement Learning.
- Aug 2017: I am editing the JMLR Special issue on Bayesian optimization together with Roman Garnett, Javier González, Frank Hutter, and Bobak Shahriari. The deadline for submissions is 31 March 2018!
- Jul 2017: Our paper Goal-Driven Dynamics Learning via Bayesian Optimization has been accepted at CDC.
- Apr 2017: Today I gave a talk about “Goal-Driven Dynamics Learning for Model-Based RL” at the DALI 2017 Workshop on Data-Efficient Reinforcement Learning. [Slides][Video]