Ariel Felner

Senior Academic

Improved heuristics for multi-agent path finding with conflict-based search

Preliminary results

Jiaoyang Li, Eli Boyarski, Ariel Felner, Hang Ma, Sven Koenig

Conflict-Based Search (CBS) and its enhancements are among the strongest algorithms for Multi-Agent Path Finding. Recent work introduced an admissible heuristic to guide the high-level search of CBS. In this work, we introduce two new admissible heuristics by reasoning about the pairwise dependency between agents. Empirically, CBS with both new heuristics significantly improves the success rate over CBS with the recent heuristic and reduces the number of expanded nodes and runtime by up to a factor of 50.

Publication language English
Pages 182-183
Publication status Published - 01.01.2019

ASJC Scopus subject areas

Computer Networks and Communications
Other files and links
Link to publication in Scopus