This is the code repository for the paper "Graph Attention-Guided Search for Dense Multi-Agent Pathfinding" introducing LaGAT. LaGAT combines a neural policy heuristic, an enhanced MAGAT+ model, with ...
If you’re looking to level up your coding game, especially if you’re working remotely, you’ve probably heard about codingame. It’s a platform that really makes learning and practicing programming feel ...
News: We released a more general-purpose LM-GNN reasoning framework, MHGRN, which includes more options for text/graph encoders. It also matches the current state-of-the-art performance (76.5% acc) on ...
Abstract: Healthcare institutes such as hospitals often face a shortage of caregivers and a high workload that affects the efficiency and quality of care. This paper addresses such problems by ...
The development lifecycle for Unreal Engine 6 is structured to provide incremental access to new architectural components via staged preview releases. Initial technical previews, scheduled between ...
Warehouse automation is no longer an emerging concept—it is a disruptive force actively reshaping logistics and supply chain dynamics. Robotics, AI-driven optimization, and autonomous material ...
Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...
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