According to DeepLearning.AI, researchers at Carnegie Mellon University have developed a tree search method for language model agents, which significantly enhances their task completion capabilities on the web. This method allows agents to evaluate multiple action paths and avoid repeating past mistakes, potentially optimizing decision-making processes in algorithmic trading by improving data interaction and information processing efficiency (source: DeepLearning.AI).