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Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

First, clarify what problem needs to be solved and whether there are already proven solutions. The example here searches for the shortest path between two cities. Algorithms like Dijkstra, A*, and ...

Abstract: This paper presents a hybrid approach to enhance indoor pathfinding and navigation within complex multistory environments by integrating RRT-Connect and Dijkstra's algorithm. The objective ...