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Michael Katz
Michael Katz
Principal Research Staff Member, IBM Research AI
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Red-black planning: a new systematic approach to partial delete relaxation
C Domshlak, J Hoffmann, M Katz
Artificial Intelligence 221 (April 2015), 73–114, 2015
1012015
Optimal admissible composition of abstraction heuristics
M Katz, C Domshlak
Artificial Intelligence 174 (12-13), 767-798, 2010
932010
Optimal Additive Composition of Abstraction-based Admissible Heuristics.
M Katz, C Domshlak
ICAPS, 174-181, 2008
762008
Enhanced symmetry breaking in cost-optimal planning as forward search
C Domshlak, M Katz, A Shleyfman
Proceedings of the international conference on automated planning and …, 2012
732012
Implicit abstraction heuristics
M Katz, C Domshlak
Journal of Artificial Intelligence Research 39, 51-126, 2010
722010
Heuristics and Symmetries in Classical Planning
A Shleyfman, M Katz, M Helmert, S Sievers, M Wehrle
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
642015
A novel iterative approach to top-k planning
M Katz, S Sohrabi, O Udrea, D Winterer
Proceedings of the International Conference on Automated Planning and …, 2018
582018
Mercury Planner: Pushing the Limits of Partial Delete Relaxation
M Katz, J Hoffmann
Eighth International Planning Competition (IPC 2014), 2014
532014
Structural Patterns Heuristics via Fork Decomposition.
M Katz, C Domshlak
ICAPS, 182-189, 2008
522008
Reusable modeling for solving problems
M Katz, V Lipets, M Masin, D Moshkovich, SE Wasserkrug
US Patent App. 10/169,291, 2019
51*2019
Delfi: Online Planner Selection for Cost-Optimal Planning
M Katz, S Sohrabi, H Samulowitz, S Sievers
502018
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
T Ma, P Ferber, S Huo, J Chen, M Katz
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020
48*2020
An AI planning solution to scenario generation for enterprise risk management
S Sohrabi, A Riabov, M Katz, O Udrea
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
482018
Deep learning for cost-optimal planning: Task-dependent planner selection
S Sievers, M Katz, S Sohrabi, H Samulowitz, P Ferber
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7715-7723, 2019
452019
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.
O Hassanzadeh, D Bhattacharjya, M Feblowitz, K Srinivas, M Perrone, ...
IJCAI, 5003-5009, 2019
432019
New Islands of Tractability of Cost-Optimal Planning
M Katz, C Domshlak
Journal of Artificial Intelligence Research 32 (1), 203-288, 2008
422008
Who said we need to relax all variables?
M Katz, J Hoffmann, C Domshlak
Proceedings of the International Conference on Automated Planning and …, 2013
392013
Reshaping Diverse Planning
M Katz, S Sohrabi
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020
37*2020
Top-Quality Planning: Finding Practically Useful Sets of Best Plans
M Katz, S Sohrabi, O Udrea
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020
332020
Red-Black Relaxed Plan Heuristics
M Katz, J Hoffmann, C Domshlak
Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI …, 2013
322013
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