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Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate
Automatically solving puzzle instances in the game The Witness can guide players toward solutions and help puzzle designers generate better puzzles.
Automatic Algorithm Selection In Multi-agent Pathfinding
In a multi-agent pathfinding (MAPF) problem, agents need to navigate from their start to their goal locations without colliding into each other.
Flow for Meta Control
The psychological state of flow has been linked to optimizing human performance.
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding
D LRTA* is well poised for video games, except it has a complex and memory-demanding pre-computation phase during which it builds a database of subgoals.
Search-Space Characterization for Real-time Heuristic Search
We proceed with the aim of facilitating wider applications of real-time search by fostering a greater understanding of the performance of recent algorithms.
