Abstract | ||
---|---|---|
The cost-optimal track of the international planning competition in 2014 has seen an unexpected outcome. Different to the precursing competition in 2011, where explicit-state heuristic search planning scored best, advances in the state-set exploration with BDDs showed a significant lead. In this paper we review the outcome of the competition, briefly looking into the internals of the competing systems. |
Year | Venue | Keywords |
---|---|---|
2015 | PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE | state space search |
Field | DocType | Citations |
Heuristic,Computer science,State space search,Artificial intelligence,Machine learning,Automated planning and scheduling | Conference | 5 |
PageRank | References | Authors |
0.40 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stefan Edelkamp | 1 | 1557 | 125.46 |
Peter Kissmann | 2 | 181 | 13.93 |
Álvaro Torralba | 3 | 81 | 15.12 |