[图书][B] Autonomous horizons: the way forward

GL Zacharias - 2019 - apps.dtic.mil
Dr. Greg Zacharias, Chief Scientist of the United States Air Force 2015-18, explores next
steps in autonomous systems AS development, fielding, and training. Rapid advances in AS …

Automatic configuration of sequential planning portfolios

J Seipp, S Sievers, M Helmert, F Hutter - Proceedings of the AAAI …, 2015 - ojs.aaai.org
Sequential planning portfolios exploit the complementary strengths of different planners.
Similarly, automated algorithm configuration tools can customize parameterized planning …

Portfolio-based planning: State of the art, common practice and open challenges

M Vallati, L Chrpa, D Kitchin - AI Communications, 2015 - content.iospress.com
In recent years the field of Automated Planning has significantly advanced and several
powerful domain-independent planners have been developed. However, none of these …

Transition trees for cost-optimal symbolic planning

A Torralba, S Edelkamp, P Kissmann - Proceedings of the International …, 2013 - ojs.aaai.org
Symbolic search with binary decision diagrams (BDDs) often saves huge amounts of
memory and computation time. In this paper we propose two general techniques based on …

Learning pruning rules for heuristic search planning

M Krajňanský, J Hoffmann, O Buffet, A Fern - ECAI 2014, 2014 - ebooks.iospress.nl
When it comes to learning control knowledge for planning, most works focus on “how to do
it” knowledge which is then used to make decisions regarding which actions should be …

[HTML][HTML] Automatic construction of optimal static sequential portfolios for AI planning and beyond

S Nunez, D Borrajo, CL López - Artificial Intelligence, 2015 - Elsevier
In recent years the notion of portfolio has been revived with the aim of improving the
performance of modern solvers. For example, Fast Downward Stone Soup and SATzilla …

FLAP: applying least-commitment in forward-chaining planning

O Sapena, E Onaindia, A Torreno - AI Communications, 2015 - content.iospress.com
In this paper, we present FLAP, a partial-order planner that accurately applies the least-
commitment principle that governs traditional partial-order planning. FLAP fully exploits the …

Inner entanglements: Narrowing the search in classical planning by problem reformulation

L Chrpa, M Vallati, TL McCluskey - Computational Intelligence, 2019 - Wiley Online Library
In the field of automated planning, the central research focus is on domain‐independent
planning engines that accept planning tasks (domain models and problem descriptions) in a …

Outer entanglements: a general heuristic technique for improving the efficiency of planning algorithms

L Chrpa, M Vallati, TL McCluskey - Journal of Experimental & …, 2018 - Taylor & Francis
Domain independent planning engines accept a planning task description in a language
such as PDDL and return a solution plan. Performance of planning engines can be …

Portfolio methods for optimal planning: an empirical analysis

M Rizzini, C Fawcett, M Vallati… - 2015 IEEE 27th …, 2015 - ieeexplore.ieee.org
Combining the complementary strengths of several algorithms through portfolio approaches
has been demonstrated to be effective in solving a wide range of AI problems. Notably …