Moving AI LabNathan R. Sturtevant
Canada CIFAR chair
Alberta Machine Intelligence Institute (Amii) Fellow
Professor, Department of Computing Science, University of Alberta
The Moving AI lab does research broadly in Artificial Intelligence. This includes work that includes but is not limited to heuristic search (single-agent, multi-agent, game-tree), learning (in search and traditional games), game playing, and video games. Our pathfinding research has been implemented in commercial games (Dragon Age: Origins and the upcoming Nightingale).
Broad resources of community interest:
- Benchmark problems for:
- Historical Grid-Based Path Planning Competition data. (We are working to revive this, but plans were disrupted by COVID-19.)
- Interactive heuristic search demos. These cover many basic and advanced heuristic search algorithms. These demos and other research is implemented in the HOG2 platform.
- Graduate lectures on Single Agent Search
Recent additions of interest:
- Exhaustive Procedural Content Generation: Snakebird
- Heuristic Search Demos:
- Budgeted Tree Search: IDA* replacement with better worst-case performance
- Weighted A* (XDP): Simple modification to Weighted A* that often finds suboptimal solutions more efficiently, especially on hard problems