Neuro-Symbolic Methods for Open-Ended Cooperative AI by Ed Hughes

This lecture was delivered at the 2024 Cooperative AI Summer School. For more information, please visit www.cooperativ...
Edward Hughes is a Staff Research Engineer at DeepMind. His research pioneers the field of Cooperative AI, algorithms that work in partnership with each other and humans. His work lies at a crossroads linking multi-agent reinforcement learning with sociology and economics. Edward received his PhD in Theoretical Physics from Queen Mary University of London on applications of string theory to particle scattering. He read Mathematics at Cambridge University, where he graduated with Distinction. Edward’s publications are available on Google Scholar.