Folgen
Michael Katz
Michael Katz
Principal Research Staff Member, IBM Research AI
Bestätigte E-Mail-Adresse bei ibm.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Generalized planning in pddl domains with pretrained large language models
T Silver, S Dan, K Srinivas, JB Tenenbaum, L Kaelbling, M Katz
Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20256 …, 2024
1092024
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
1062015
Optimal admissible composition of abstraction heuristics
M Katz, C Domshlak
Artificial Intelligence 174 (12-13), 767-798, 2010
1062010
Optimal Additive Composition of Abstraction-based Admissible Heuristics.
M Katz, C Domshlak
ICAPS, 174-181, 2008
832008
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
762012
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
752018
Heuristics and Symmetries in Classical Planning
A Shleyfman, M Katz, M Helmert, S Sievers, M Wehrle
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
752015
Implicit abstraction heuristics
M Katz, C Domshlak
Journal of Artificial Intelligence Research 39, 51-126, 2010
752010
Delfi: Online Planner Selection for Cost-Optimal Planning
M Katz, S Sohrabi, H Samulowitz, S Sievers
632018
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
60*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
602018
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
592019
Mercury Planner: Pushing the Limits of Partial Delete Relaxation
M Katz, J Hoffmann
Eighth International Planning Competition (IPC 2014), 2014
572014
Reshaping Diverse Planning
M Katz, S Sohrabi
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020
542020
Structural Patterns Heuristics via Fork Decomposition.
M Katz, C Domshlak
ICAPS, 182-189, 2008
532008
Reusable modeling for solving problems
M Katz, V Lipets, M Masin, D Moshkovich, SE Wasserkrug
US Patent App. 10/169,291, 2019
51*2019
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
472019
Reinforcement learning for classical planning: Viewing heuristics as dense reward generators
C Gehring, M Asai, R Chitnis, T Silver, L Kaelbling, S Sohrabi, M Katz
Proceedings of the International Conference on Automated Planning and …, 2022
442022
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
422020
New Islands of Tractability of Cost-Optimal Planning
M Katz, C Domshlak
Journal of Artificial Intelligence Research 32 (1), 203-288, 2008
412008
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20