activity
20002023
most citedLearning in Real-Time Search: A Unifying Framework

124 citations · 203 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2023★ 1 cited

Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate

Justin Stevens, Vadim Bulitko, David Thue

Automatically solving puzzle instances in the game The Witness can guide players toward solutions and help puzzle designers generate better puzzles. In the latter case such an Arti…

cs.AI2019★ 17 cited

Automatic Algorithm Selection In Multi-agent Pathfinding

Devon Sigurdson, Vadim Bulitko, Sven Koenig +2

In a multi-agent pathfinding (MAPF) problem, agents need to navigate from their start to their goal locations without colliding into each other. There are various MAPF algorithms,…

cs.CY2015★ 8 cited

RETAIN: a Neonatal Resuscitation Trainer Built in an Undergraduate Video-Game Class

Vadim Bulitko, Jessica Hong, Kumar Kumaran +4

Approximately ten percent of newborns require some help with their breathing at birth. About one percent require extensive assistance at birth which needs to be administered by tra…

cs.AI2014★ 1 cited

Flow for Meta Control

Vadim Bulitko

The psychological state of flow has been linked to optimizing human performance. A key condition of flow emergence is a match between the human abilities and complexity of the task…

cs.AI2014★ 18 cited

Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding

Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence

Real-time heuristic search algorithms satisfy a constant bound on the amount of planning per action, independent of problem size. As a result, they scale up well as problems become…

cs.AI2013★ 5 cited

Search-Space Characterization for Real-time Heuristic Search

Daniel Huntley, Vadim Bulitko

Recent real-time heuristic search algorithms have demonstrated outstanding performance in video-game pathfinding. However, their applications have been thus far limited to that dom…