CARL

Researchers introduced CARL, an autotelic reinforcement learning agent that discovers and controls self-organizing phenomena in Lenia, a continuous cellular automaton, through closed-loop intervention…

Researchers have developed CARL (Contrastive Action-based Representations for Reusable Local Control), a new algorithm that exploits local dynamics regularity to learn reusable skills for hierarchical…