2 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.AI2025
Generalizing Multi-Objective Search via Objective-Aggregation Functions
Hadar Peer, Eyal Weiss, Ron Alterovitz +1
Multi-objective search (MOS) has become essential in robotics, as real-world robotic systems need to simultaneously balance multiple, often conflicting objectives. Recent works exp…