Best First

Best-first search algorithms prioritize exploring the most promising parts of a search space first, guided by heuristic functions estimating the distance to a solution. Current research focuses on applying and improving best-first search in diverse areas, including debugging large language models, solving complex planning problems (like motion planning), and optimizing computationally expensive tasks such as finding Ramsey numbers. These advancements improve efficiency and solution quality in various domains, impacting fields ranging from software engineering to artificial intelligence and operations research.