50 citations · 67 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search
Hadar Peer, Carlos Hernandez, Sven Koenig +2
Empirical evaluation in multi-objective search (MOS) has historically suffered from fragmentation, relying on heterogeneous problem instances with incompatible objective definition…
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.AI2014★ 50 cited
Avoiding and Escaping Depressions in Real-Time Heuristic Search
Carlos Hernández, Jorge A Baier
Heuristics used for solving hard real-time search problems have regions with depressions. Such regions are bounded areas of the search space in which the heuristic function is inac…