CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent

This article introduces CARL, a reinforcement learning approach. The focus is on multi-step agents, suggesting a novel method for improving their performance. The source being ArXiv indicates this is a research paper, likely detailing the methodology, experiments, and results of the proposed CARL algorithm. Without further information, it's difficult to assess the specific contributions or impact.