Name
Abstract | ||
|---|---|---|
To date, no one planner has demonstrated clearly superiorperformance. Although researchers have hypothesized that this shouldbe the case, no one has performed a large study to test its limits. Inthis research, we tested performance of a set of planners to determinewhich is best on what types of problems. The study included six plannersand over 200 problems. We found that performance, as measuredby number of problems solved and computation time, varied with no oneplanner solving... |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/10720246_5 | ECP |
Keywords | Field | DocType |
exploiting competitive planner performance | Tape drive,Mathematical optimization,Observable,Computer science,Planner,Artificial intelligence,State space,Computation,Distributed computing,Linear regression | Conference |
Volume | ISSN | ISBN |
1809 | 0302-9743 | 3-540-67866-2 |
Citations | PageRank | References |
25 | 1.19 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adele E. Howe | 1 | 561 | 65.70 |
| Eric Dahlman | 2 | 46 | 4.19 |
| Christoper Hansen | 3 | 25 | 1.19 |
| Michael Scheetz | 4 | 39 | 3.52 |
| Anneliese von Mayrhauser | 5 | 1178 | 323.38 |