Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search
December 26, 2023 Β· Declared Dead Β· π Adaptive Agents and Multi-Agent Systems
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Authors
Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner
arXiv ID
2312.16106
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MA,
cs.RO
Citations
2
Venue
Adaptive Agents and Multi-Agent Systems
Last Checked
4 months ago
Abstract
While the study of unit-cost Multi-Agent Pathfinding (MAPF) problems has been popular, many real-world problems require continuous time and costs due to various movement models. In this context, this paper studies symmetry-breaking enhancements for Continuous-Time Conflict-Based Search (CCBS), a solver for continuous-time MAPF. Resolving conflict symmetries in MAPF can require an exponential amount of work. We adapt known enhancements from unit-cost domains for CCBS: bypassing, which resolves cost symmetries and biclique constraints which resolve spatial conflict symmetries. We formulate a novel combination of biclique constraints with disjoint splitting for spatial conflict symmetries. Finally, we show empirically that these enhancements yield a statistically significant performance improvement versus previous state of the art, solving problems for up to 10% or 20% more agents in the same amount of time on dense graphs.
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