Giuseppe Paolo

I am a Research Scientist at Cognizant AI Lab. PhD in Computer Science/Machine Learning from Sorbonne University in 2021. The PhD was conducted at ISIR in Sorbonne University, under the supervision of Stéphane Doncieux, and at AI-Lab in Softbank Robotics Europe, under the supervision of Alban Laflaquière. My thesis addressed the problem of sparse rewards in Reinforcement Learning through Quality Diversity methods.

Before this, I got my Bachelor Degree at Politecnico di Torino in electronic engineering and then a Master of Science in Robotics, Systems and Control at ETH Zurich. I have been visiting researcher at RAM-Lab in HKUST and at IBM Research Zurich. 

I co-organized the Evolutionary RL workshop at GECCO 2021 and 2022 and co-edited the “Evolutionary Reinforcement Learning” Special Issue for the ACM TELO journal.

My current research interests are Embodied and Agentic AI, in particular for nature-inspired multi agent systems.

Don’t hesitate to reach out for possible collaborations or questions regarding my research!