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GPU-based Pathfinding and Collision Avoidance
KernelAgent: Hardware-Guided GPU Kernel Optimization Via Multi-Agen... - K. Cheng, J. Khuu & L. Wang
GPU Accelerated A* Pathfinding with Vulkan
CBS Multi-Agent Pathfinding Explained Simply | AI Algorithm Guide
Multi-Agent Pathfinding
AAMAS-22 Tutorial on Recent Advances in Multi-Agent Path Finding
X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs - Full
HPA - Mass pathfinding second version (60k agents single CPU-thread)
Vector field pathfinding using a compute shader
Multi Agent Pathfinding using Jumper library
Real-Time Multi-Agent Pathfinding on Unreal Engine 4
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Last Updated: September 26, 2026
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Final Project Presentation RBE550: Motion Planning Full project report and documentation is available at goo.gl/B91R3U. • Implemented Recently, the PyTorch team released KernelAgent, an open agentic system achieving 100% correctness across all 250 L1/L2/L3 ... Explaining parts of my Final Year Project where I test the the speed of execution of A* You can find more material on the tutorial website: mapf.info/index.php/Tutorial/AAMAS-22. We present background and detailed overview of the Windowed Anytime I managed to double the amount of a brushfire algorithm is used to propagate any number of destination "pixels" on the texture. Direction vectors are then calculated ... This video is a presentation of a MAPF plugin available on GitHub: github.com/MShepelin/RealTimeMAPF.
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