Alan Fern
Hivatkozott rá
Hivatkozott rá
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
UCT for tactical assault battles in real-time strategy games
RK Balla
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
Probabilistic Planning via Determinization in Hindsight.
SW Yoon, A Fern, R Givan, S Kambhampati
AAAI, 1010-1016, 2008
Online ensemble learning: An empirical study
A Fern, R Givan
Machine Learning 53 (1-2), 71-109, 2003
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
Probabilistic event logic for interval-based event recognition
W Brendel, A Fern, S Todorovic
CVPR 2011, 3329-3336, 2011
Approximate policy iteration with a policy language bias
A Fern, SW Yoon, R Givan
Advances in neural information processing systems, 847-854, 2004
Visualizing and understanding atari agents
S Greydanus, A Koul, J Dodge, A Fern
International Conference on Machine Learning, 1792-1801, 2018
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
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
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289, 2008
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
Lower bounding Klondike solitaire with Monte-Carlo planning
R Bjarnason, A Fern, P Tadepalli
Proceedings of the International Conference on Automated Planning and …, 2009
Learning control knowledge for forward search planning
S Yoon, A Fern, R Givan
Journal of Machine Learning Research 9 (Apr), 683-718, 2008
Inductive policy selection for first-order MDPs
SW Yoon, A Fern, R Givan
arXiv preprint arXiv:1301.0614, 2012
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
Reinforcement learning via practice and critique advice
K Judah, S Roy, A Fern, T Dietterich
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010
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Cikkek 1–20