| 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 | 106 | 2015 |
| Optimal admissible composition of abstraction heuristics M Katz, C Domshlak Artificial Intelligence 174 (12-13), 767-798, 2010 | 105 | 2010 |
| Optimal Additive Composition of Abstraction-based Admissible Heuristics. M Katz, C Domshlak ICAPS, 174-181, 2008 | 83 | 2008 |
| 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 | 82 | 2024 |
| 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 | 75 | 2012 |
| Implicit abstraction heuristics M Katz, C Domshlak Journal of Artificial Intelligence Research 39, 51-126, 2010 | 75 | 2010 |
| Heuristics and Symmetries in Classical Planning A Shleyfman, M Katz, M Helmert, S Sievers, M Wehrle Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 74 | 2015 |
| 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 | 72 | 2018 |
| Delfi: Online Planner Selection for Cost-Optimal Planning M Katz, S Sohrabi, H Samulowitz, S Sievers | 62 | 2018 |
| 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 | 59* | 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 | 59 | 2018 |
| 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 | 56 | 2019 |
| Mercury Planner: Pushing the Limits of Partial Delete Relaxation M Katz, J Hoffmann Eighth International Planning Competition (IPC 2014), 2014 | 55 | 2014 |
| Structural Patterns Heuristics via Fork Decomposition. M Katz, C Domshlak ICAPS, 182-189, 2008 | 53 | 2008 |
| Reshaping Diverse Planning M Katz, S Sohrabi The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 52 | 2020 |
| 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 | 47 | 2019 |
| 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 | 42 | 2020 |
| New Islands of Tractability of Cost-Optimal Planning M Katz, C Domshlak Journal of Artificial Intelligence Research 32 (1), 203-288, 2008 | 41 | 2008 |
| 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 | 40 | 2022 |
Shirin SohrabiIBM Research / University of TorontoVerified email at cs.toronto.edu
