Marko Cvjetko

The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning

A closed-loop framework based on autotelic reinforcement learning is introduced, in which an agent autonomously samples diverse goals and learns a goal-conditioned policy to intervene in a complex system through minimal, local perturbations, suggesting a path toward artificial experimentalist agents that, autonomously...