A modular, OOP-first C++17 engine that compares pathfinding algorithms (A*, Dijkstra, BFS) under pluggable heuristics (Manhattan, Euclidean, Chebyshev, Octile) on 2D grids — with step-by-step CLI ...
This project lets you compare common pathfinding algorithms on a grid-based map with walls, a start node, and a goal node. The frontend handles visualization, while the backend runs the algorithms and ...
Abstract: Multi-Agent Reinforcement Learning (MARL) based Multi-Agent Path Finding (MAPF) has recently gained attention due to its efficiency and scalability. Several MARL-MAPF methods choose to use ...
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