Latency-Optimal Cache-aided Multicast Streaming via Forward-Backward Reinforcement Learning

This article likely presents a novel approach to optimizing multicast streaming, focusing on minimizing latency using reinforcement learning techniques. The use of cache-aiding suggests an attempt to improve efficiency by leveraging cached content. The 'Forward-Backward' aspect of the reinforcement learning likely refers to the algorithm's structure, potentially involving both forward and backward passes to refine its learning process. The source being ArXiv indicates this is a research paper, likely detailing the methodology, results, and implications of this approach.