| BLOG: Probabilistic Models with Unknown Objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Statistical relational learning, 373, 2007 | 561 | 2007 |
| Parallel task routing for crowdsourcing J Bragg, A Kolobov, M Mausam, DS Weld Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 196* | 2014 |
| Planning with Markov decision processes: An AI perspective Mausam, A Kolobov Synthesis Lectures on Artificial Intelligence and Machine Learning 6 (1), 1-210, 2012 | 161* | 2012 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 131 | 2007 |
| Interactive teaching strategies for agent training O Amir, E Kamar, A Kolobov, B Grosz In Proceedings of IJCAI 2016, 2016 | 120 | 2016 |
| Heuristic search for generalized stochastic shortest path MDPs A Kolobov, Mausam, DS Weld, H Geffner Twenty-First International Conference on Automated Planning and Scheduling, 2011 | 99* | 2011 |
| A Theory of Goal-Oriented MDPs with Dead Ends A Kolobov, Mausam, DS Weld UAI, 2012 | 86* | 2012 |
| LRTDP vs. UCT for Online Probabilistic Planning A Kolobov, Mausam, DS Weld Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 70* | 2012 |
| Approximate inference for infinite contingent Bayesian networks B Milch, B Marthi, D Sontag, S Russell, DL Ong, A Kolobov AISTATS, 2005 | 68 | 2005 |
| Safe reinforcement learning via curriculum induction M Turchetta, A Kolobov, S Shah, A Krause, A Agarwal Advances in Neural Information Processing Systems 33, 12151-12162, 2020 | 51 | 2020 |
| Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors A Kolobov, P Dai, Mausam, DS Weld Proceedings of the 22nd International Conference on Automated Planning and …, 2012 | 49* | 2012 |
| ReTrASE: Integrating paradigms for approximate probabilistic planning A Kolobov, Mausam, DS Weld Twenty-First International Joint Conference on Artificial Intelligence, 1746 …, 2009 | 41 | 2009 |
| SixthSense: Fast and reliable recognition of dead ends in MDPs A Kolobov, Mausam, DS Weld Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010 | 34* | 2010 |
| Metareasoning for planning under uncertainty CH Lin, A Kolobov, E Kamar, E Horvitz Twenty-fourth international joint conference on artificial intelligence, 2015 | 33 | 2015 |
| Blog: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Dagstuhl Seminar Proceedings, 2006 | 33 | 2006 |
| Discovering hidden structure in factored MDPs A Kolobov, Mausam, DS Weld Artificial Intelligence 189, 19-47, 2012 | 29* | 2012 |
| Todtler: Two-order-deep transfer learning J Van Haaren, A Kolobov, J Davis Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 28 | 2015 |
| Optimal freshness crawl under politeness constraints A Kolobov, Y Peres, E Lubetzky, E Horvitz Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 20 | 2019 |
| Saturated path-constrained MDP: Planning under uncertainty and deterministic model-checking constraints J Sprauel, A Kolobov, F Teichteil-Königsbuch Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 20 | 2014 |
| Classical Planning in MDP Heuristics: With a Little Help from Generalization A Kolobov, Mausam, DS Weld Twentieth International Conference on Automated Planning and Scheduling, 97-104, 2010 | 20* | 2010 |
