(PDF) Hybrid Pathfinding in StarCraft ResearchGate Hybrid Policy Learning for Multi-Agent Pathfinding
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Reverse Nagle Algorithm | StarCraft
https://www.codeofhonor.com/blog/the-starcraft-path-finding-hack
https://www.geeksforgeeks.org/program-for-array-rotation-continued-reversal-algorithm/
https://www.reddit.com/r/starcraft/comments/39v9p9/improved_path_finding_algorithm_with_examples/
https://www.codeofhonor.com/blog/tough-times-on-the-road-to-starcraft
https://www.sciencedirect.com/science/article/abs/pii/S0360835219306114
https://www.semanticscholar.org/paper/A-smooth-spiral-tool-path-for-high-speed-machining-Held-Spielberger/93638be8f4723c57b116a8e855860cc801228510
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Research in Computing Science Navegación de robots móviles utilizando algoritmos Bugs extendidos [PDF] Navegación de robots móviles utilizando algoritmos Bugs extendidos
http://motion.cs.illinois.edu/RoboticSystems/GeometricMotionPlanning.html
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ChatGPT
StarCraft II's pathfinding algorithm uses a combination of techniques to find the optimal path for units to take. The algorithm includes a hierarchical pathfinding system, where the game first checks for a direct path to the destination, and if that is not possible, it breaks the pathfinding into smaller chunks and finds paths to intermediate points. Additionally, the algorithm uses a dynamic obstacle avoidance system, which allows units to navigate around obstacles in real-time. The algorithm also takes into account the terrain and unit movement speeds to make the pathfinding as efficient as possible.