| Visualizing and understanding atari agents S Greydanus, A Koul, J Dodge, A Fern International conference on machine learning, 1792-1801, 2018 | 510 | 2018 |
| FF-Replan: A Baseline for Probabilistic Planning. SW Yoon, A Fern, R Givan ICAPS 7, 352-359, 2007 | 486 | 2007 |
| Multi-task reinforcement learning: a hierarchical bayesian approach A Wilson, A Fern, S Ray, P Tadepalli Proceedings of the 24th international conference on Machine learning, 1015-1022, 2007 | 436 | 2007 |
| Explainable reinforcement learning via reward decomposition Z Juozapaitis, A Koul, A Fern, M Erwig, F Doshi-Velez IJCAI/ECAI Workshop on explainable artificial intelligence, 2019 | 320 | 2019 |
| Blind bipedal stair traversal via sim-to-real reinforcement learning J Siekmann, K Green, J Warila, A Fern, J Hurst arXiv preprint arXiv:2105.08328, 2021 | 292 | 2021 |
| Approximate policy iteration with a policy language bias A Fern, S Yoon, R Givan Advances in neural information processing systems 16, 2003 | 281 | 2003 |
| A bayesian approach for policy learning from trajectory preference queries A Wilson, A Fern, P Tadepalli Advances in neural information processing systems 25, 2012 | 247 | 2012 |
| Sim-to-real learning of all common bipedal gaits via periodic reward composition J Siekmann, Y Godse, A Fern, J Hurst 2021 IEEE International Conference on Robotics and Automation (ICRA), 7309-7315, 2021 | 246 | 2021 |
| UCT for tactical assault battles in real-time strategy games RK Balla | 219 | 2009 |
| Probabilistic planning via determinization in hindsight. SW Yoon, A Fern, R Givan, S Kambhampati AAAI, 1010-1016, 2008 | 215 | 2008 |
| Fast Online Trajectory Optimization for the Bipedal Robot Cassie. T Apgar, P Clary, K Green, A Fern, JW Hurst Robotics: Science and Systems 101, 14, 2018 | 211 | 2018 |
| Incorporating expert feedback into active anomaly discovery S Das, WK Wong, T Dietterich, A Fern, A Emmott 2016 IEEE 16th International Conference on Data Mining (ICDM), 853-858, 2016 | 209 | 2016 |
| Discriminatively trained particle filters for complex multi-object tracking R Hess, A Fern 2009 IEEE conference on computer vision and pattern recognition, 240-247, 2009 | 202 | 2009 |
| Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 192 | 2013 |
| Systematic construction of anomaly detection benchmarks from real data AF Emmott, S Das, T Dietterich, A Fern, WK Wong Proceedings of the ACM SIGKDD workshop on outlier detection and description …, 2013 | 191 | 2013 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 190 | 2007 |
| Batch Bayesian optimization via simulation matching J Azimi, A Fern, X Fern Advances in neural information processing systems 23, 2010 | 185 | 2010 |
| Online ensemble learning: An empirical study A Fern, R Givan Machine Learning 53 (1), 71-109, 2003 | 185 | 2003 |
| Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019 | 170 | 2019 |
| Probabilistic event logic for interval-based event recognition W Brendel, A Fern, S Todorovic CVPR 2011, 3329-3336, 2011 | 158 | 2011 |
