Alan Fern
Cited by
Cited by
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
FF-Replan: A Baseline for Probabilistic Planning.
SW Yoon, A Fern, R Givan
ICAPS 7, 352-359, 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
Visualizing and understanding atari agents
S Greydanus, A Koul, J Dodge, A Fern
International conference on machine learning, 1792-1801, 2018
UCT for tactical assault planning in real-time strategy games
RK Balla, A Fern
Twenty-First International Joint Conference on Artificial Intelligence, 2009
Probabilistic planning via determinization in hindsight.
SW Yoon, A Fern, R Givan, S Kambhampati
AAAI, 1010-1016, 2008
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
Online ensemble learning: An empirical study
A Fern, R Givan
Machine Learning 53 (1), 71-109, 2003
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
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
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
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
Probabilistic event logic for interval-based event recognition
W Brendel, A Fern, S Todorovic
CVPR 2011, 3329-3336, 2011
A bayesian approach for policy learning from trajectory preference queries
A Wilson, A Fern, P Tadepalli
Advances in neural information processing systems 25, 2012
Approximate policy iteration with a policy language bias
A Fern, S Yoon, R Givan
Advances in neural information processing systems 16, 2003
Learning Control Knowledge for Forward Search Planning.
S Yoon, A Fern, R Givan
Journal of Machine Learning Research 9 (4), 2008
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289-312, 2008
Learning probabilistic behavior models in real-time strategy games
E Dereszynski, J Hostetler, A Fern, T Dietterich, TT Hoang, M Udarbe
Seventh Artificial Intelligence and Interactive Digital Entertainment Conference, 2011
Lower bounding Klondike solitaire with Monte-Carlo planning
R Bjarnason, A Fern, P Tadepalli
Nineteenth international conference on automated planning and scheduling, 2009
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
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Articles 1–20