Simple Heuristic

Simple heuristics are rules of thumb used to efficiently solve complex problems, particularly in optimization and search, where finding optimal solutions is computationally intractable. Current research focuses on improving heuristic performance through machine learning techniques, such as integrating reinforcement learning agents or graph neural networks to learn effective search strategies and adapt to specific problem instances. This work aims to enhance the speed and solution quality of existing algorithms across diverse applications, from production scheduling and route optimization to AI planning and puzzle solving, bridging the gap between handcrafted heuristics and data-driven approaches.