Universal Agent Mixtures and the Geometry of Intelligence

Samuel Allen Alexander, David Quarel, Len Du +1

Inspired by recent progress in multi-agent Reinforcement Learning (RL), in this work we examine the collective intelligent behaviour of theoretical universal agents by introducing…