Alan Fern
Title
Cited by
Cited by
Year
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
17652007
FF-Replan: A Baseline for Probabilistic Planning.
SW Yoon, A Fern, R Givan
ICAPS 7, 352-359, 2007
3572007
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
2732007
UCT for tactical assault battles in real-time strategy games
RK Balla
2022009
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
1772009
Probabilistic planning via determinization in hindsight.
SW Yoon, A Fern, R Givan, S Kambhampati
AAAI, 1010-1016, 2008
1722008
Online ensemble learning: An empirical study
A Fern, R Givan
Machine Learning 53 (1), 71-109, 2003
1632003
Approximate policy iteration with a policy language bias: Solving relational Markov decision processes
A Fern, S Yoon, R Givan
Journal of Artificial Intelligence Research 25, 75-118, 2006
1392006
Visualizing and understanding atari agents
S Greydanus, A Koul, J Dodge, A Fern
International Conference on Machine Learning, 1792-1801, 2018
1362018
Probabilistic event logic for interval-based event recognition
W Brendel, A Fern, S Todorovic
CVPR 2011, 3329-3336, 2011
1332011
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
1272013
Approximate Policy Iteration with a Policy Language Bias.
A Fern, SW Yoon, R Givan
NIPS, 847-854, 2003
1202003
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
1152013
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289, 2008
1132008
Learning probabilistic behavior models in real-time strategy games
E Dereszynski, J Hostetler, A Fern, T Dietterich, TT Hoang, M Udarbe
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2011
1112011
A bayesian approach for policy learning from trajectory preference queries
A Wilson, A Fern, P Tadepalli
Advances in neural information processing systems 25, 1133-1141, 2012
1102012
Lower bounding Klondike solitaire with Monte-Carlo planning
R Bjarnason, A Fern, P Tadepalli
Proceedings of the International Conference on Automated Planning and …, 2009
1082009
Learning Control Knowledge for Forward Search Planning.
S Yoon, A Fern, R Givan
Journal of Machine Learning Research 9 (4), 2008
1082008
Inductive policy selection for first-order MDPs
SW Yoon, A Fern, R Givan
arXiv preprint arXiv:1301.0614, 2012
1032012
Learning first-order probabilistic models with combining rules
S Natarajan, P Tadepalli, TG Dietterich, A Fern
Annals of Mathematics and Artificial Intelligence 54 (1), 223-256, 2008
902008
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Articles 1–20