2 papers
cs.GR2026
Multi-threaded Recast-Based A* Pathfinding for Scalable Navigation in Dynamic Game Environments
Tiroshan Madushanka, Sakuna Madushanka
While the A* algorithm remains the industry standard for game pathfinding, its integration into dynamic 3D environments faces trade-offs between computational performance and visua…
cs.AI2024
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka, Ryutaro Ichise
Knowledge Graph Representation Learning (KGRL), or Knowledge Graph Embedding (KGE), is essential for AI applications such as knowledge construction and information retrieval. These…