Vallati, Mauro, Chrpa, Lukáš, Grzes, Marek, McCluskey, Thomas L, Roberts, Mark, Sanner, Scott (2015) The 2014 International Planning Competition: Progress and Trends. AI Magazine, 36 (3). pp. 90-98. ISSN 0738-4602. (doi:10.1609/aimag.v36i3.2571) (KAR id:53894)
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Official URL: http://dx.doi.org/10.1609/aimag.v36i3.2571 |
Abstract
We review the 2014 International Planning Competition (IPC-2014), the eighth
in a series of competitions starting in 1998. IPC-2014 was held in three separate
parts to assess state-of-the-art in three prominent areas of planning research: the
deterministic (classical) part (IPCD), the learning part (IPCL), and the probabilistic
part (IPPC). Each part evaluated planning systems in ways that pushed the edge of
existing planner performance by introducing new challenges, novel tasks, or both.
The competition surpassed again the number of competitors than its predecessor,
highlighting the competition’s central role in shaping the landscape of ongoing
developments in evaluating planning systems.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1609/aimag.v36i3.2571 |
Uncontrolled keywords: | automated planning, planning competition |
Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Marek Grzes |
Date Deposited: | 31 Jan 2016 22:48 UTC |
Last Modified: | 10 Oct 2023 11:55 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/53894 (The current URI for this page, for reference purposes) |
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