Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Abstract: Fault-tolerant reconfiguration is essential for improving the reliability and efficiency of multiprocessor arrays. However, existing reconfiguration approaches primarily focus on algorithmic ...
Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...
Abstract: This paper investigates the shortest path planning of unmanned surface vehicles (USV) in complicated marine environments. A novel path planning method called “sunlight algorithm” is first ...
ABSTRACT: In any military operation, reliable logistics is essential to maintaining a combat-effective force. Without the continual resupply of ammunition, food, and other materiel, forces cannot ...
Godot navmesh pathfinding has a single pathfinding algorithm option which is AStar. The heuristic driven AStar algorithm makes it very fast, but the heuristic can also be misleading. This causes low ...
Abstract: We define and study analogs of probabilistic tree embeddings and tree covers for directed graphs. We define the notion of a DAG cover of a general directed ...
Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...
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