Nicolò Dal Fabbro

Nicolò is an engineer interested in designing and analyzing algorithms for multi-agent intelligence. With a background in communication engineering and communication-efficient distributed machine learning, he focuses on developing the next generation of autonomous systems in which multiple agents (e.g., robots and autonomous vehicles) will be trained to coordinate and function in the physical world. Recent projects focus on algorithm design for cooperative and communication-efficient multi-agent reinforcement learning, algorithms for coordinating multiple autonomous agents in underwater robotics (for scientific discovery and environmental monitoring), and the use of language to automate and speed up multi-agent cooperation learning.