Levin, Oudeyer et al. unveil 'Artificial Experimentalist' autotelic RL at ALIFE 2026
pyoudeyer · x · 2026-09-02
Presented at ALIFE 2026 by Marko Cvjetko, the paper "The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning" comes from a team including Michael Levin (Tufts/Harvard Wyss Institute), Clément Moulin-Frier, and Pierre-Yves Oudeyer (Inria FLOWERS).
It proposes autotelic reinforcement learning agents that act as artificial experimentalists — autonomously discovering and controlling self-organizing phenomena, applying curiosity-driven open-ended learning to scientific discovery.
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