| Blocks world revisited J Slaney, S Thiébaux Artificial Intelligence 125 (1-2), 119-153, 2001 | 320 | 2001 |
| In defense of PDDL axioms S Thiébaux, J Hoffmann, B Nebel Artificial Intelligence 168 (1-2), 38-69, 2005 | 225 | 2005 |
| Backbones and backdoors in satisfiability P Kilby, J Slaney, S Thiébaux, T Walsh AAAI 5, 1368-1373, 2005 | 189 | 2005 |
| Probabilistic planning vs. replanning I Little, S Thiebaux ICAPS Workshop on IPC: Past, Present and Future, 1-10, 2007 | 181 | 2007 |
| Prioritizing consumers in smart grid: A game theoretic approach W Tushar, JA Zhang, DB Smith, HV Poor, S Thiébaux IEEE Transactions on Smart Grid 5 (3), 1429-1438, 2014 | 177 | 2014 |
| Interval-based relaxation for general numeric planning E Scala, P Haslum, S Thiébaux, M Ramirez ECAI 2016, 655-663, 2016 | 151 | 2016 |
| Action schema networks: Generalised policies with deep learning S Toyer, F Trevizan, S Thiébaux, L Xie AAAI Conference on Artificial Intelligence (AAAI), 6294-6301, 2018 | 122 | 2018 |
| Decision-theoretic planning with non-Markovian rewards S Thiébaux, C Gretton, J Slaney, D Price, F Kabanza Journal of Artificial Intelligence Research 25, 17-74, 2006 | 116 | 2006 |
| Decision-Theoretic Military Operations Planning. D Aberdeen, S Thiébaux, L Zhang ICAPS, 402-412, 2004 | 116 | 2004 |
| Learning domain-independent planning heuristics with hypergraph networks W Shen, F Trevizan, S Thiébaux Proceedings of the International Conference on Automated Planning and …, 2020 | 101 | 2020 |
| Rao*: An algorithm for chance-constrained pomdp's S Thiébaux, B Williams Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 95 | 2016 |
| Engineering benchmarks for planning: the domains used in the deterministic part of IPC-4 J Hoffmann, S Edelkamp, S Thiébaux, R Englert, F Liporace, S Trüg Journal of Artificial Intelligence Research 26, 453-541, 2006 | 88 | 2006 |
| Asnets: Deep learning for generalised planning S Toyer, S Thiébaux, F Trevizan, L Xie Journal of Artificial Intelligence Research 68, 1-68, 2020 | 87 | 2020 |
| Planning via Petri Net Unfolding. SL Hickmott, J Rintanen, S Thiébaux, LB White IJCAI 7, 1904-1911, 2007 | 87 | 2007 |
| Estimating search tree size P Kilby, J Slaney, S Thiébaux, T Walsh Proc. of the 21st National Conf. of Artificial Intelligence, AAAI, Menlo Park, 2006 | 84 | 2006 |
| Exploiting first-order regression in inductive policy selection C Gretton, S Thiébaux UAI, 217-225, 2004 | 82* | 2004 |
| Residential demand response under uncertainty P Scott, S Thiébaux, M Van Den Briel, P Van Hentenryck Principles and Practice of Constraint Programming: 19th International …, 2013 | 81 | 2013 |
| Supply restoration in power distribution systems—a benchmark for planning under uncertainty S Thiébaux, MO Cordier Proceedings of the 6th European Conference on Planning (ECP-01), 85-96, 2001 | 81* | 2001 |
| Event-based diagnosis for evolutive systems MO Cordier, S Thiébaux Proc. International Workshop on Principles of Diagnosis (DX), 1994 | 74 | 1994 |
| Prottle: A probabilistic temporal planner I Little, D Aberdeen, S Thiébaux AAAI Press, 2005 | 71 | 2005 |
