SPARK: A New Approach to Reference-Free Reinforcement Learning

This ArXiv article introduces SPARK, a novel method for reinforcement learning that operates without needing a reference. The research offers a promising direction for creating more flexible and adaptable AI agents, although the practical implications and limitations require further investigation.