CARL paper uses RL to discover and steer self-organizing patterns in Lenia
pyoudeyer · x · 2026-09-10
A new paper introduces CARL, a closed-loop reinforcement learning agent that learns to create self-organizing patterns in the artificial-life simulation Lenia, steer their behavior, and let humans guide them in real time. The team released a project website with interactive demos.
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