Neuro-Symbolic Methods for Open-Ended Cooperative AI

Explore neuro-symbolic methods for open-ended cooperative AI in this lecture delivered by Ed Hughes at the 2024 Cooperative AI Summer School. Delve into the pioneering field of Cooperative AI, focusing on algorithms that work in partnership with each other and humans. Examine the intersection of multi-agent reinforcement learning, sociology, and economics. Gain insights from Hughes, a Staff Research Engineer at DeepMind with a background in Theoretical Physics and Mathematics. Learn about cutting-edge approaches to developing AI systems that can collaborate effectively in complex, open-ended environments.