Recursive Algorithm

Recursive algorithms, which break down problems into smaller, self-similar subproblems, are a core concept in computer science with applications across diverse fields. Current research focuses on improving the efficiency and scalability of recursive approaches, particularly within neural networks (e.g., using recursive neural networks, recursive methods with explicit schema instructors) and reinforcement learning (e.g., recursive Q-learning), as well as exploring their application in areas like natural language processing, knowledge graph construction, and multi-agent systems. This work aims to enhance the performance and applicability of recursive algorithms for complex tasks, leading to more efficient and robust solutions in various domains.