Amy McGovern
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Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
Using artificial intelligence to improve real-time decision-making for high-impact weather
A McGovern, KL Elmore, DJ Gagne, SE Haupt, CD Karstens, R Lagerquist, ...
Bulletin of the American Meteorological Society 98 (10), 2073-2090, 2017
Autonomous discovery of temporal abstractions from interaction with an environment
EA Mcgovern, AG Barto
University of Massachusetts at Amherst, 2002
Roles of macro-actions in accelerating reinforcement learning
A McGovern, RS Sutton, AH Fagg
Grace Hopper celebration of women in computing 1317, 15, 1997
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
A McGovern, DH Rosendahl, RA Brown, KK Droegemeier
Data Mining and Knowledge Discovery 22 (1-2), 232-258, 2011
Macro-actions in reinforcement learning: An empirical analysis
A McGovern, RS Sutton
Computer Science Department Faculty Publication Series, 15, 1998
Exploiting relational structure to understand publication patterns in high-energy physics
A McGovern, L Friedland, M Hay, B Gallagher, A Fast, J Neville, D Jensen
Acm Sigkdd Explorations Newsletter 5 (2), 165-172, 2003
Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles
DJ Gagne, A McGovern, SE Haupt, RA Sobash, JK Williams, M Xue
Weather and forecasting 32 (5), 1819-1840, 2017
Building a basic block instruction scheduler with reinforcement learning and rollouts
A McGovern, E Moss, AG Barto
Machine learning 49 (2-3), 141-160, 2002
Classification of convective areas using decision trees
DJ Gagne, A McGovern, J Brotzge
Journal of Atmospheric and Oceanic Technology 26 (7), 1341-1353, 2009
Spatiotemporal relational probability trees: An introduction
A McGovern, NC Hiers, M Collier, DJ Gagne II, RA Brown
2008 Eighth IEEE International Conference on Data Mining, 935-940, 2008
Scheduling straight-line code using reinforcement learning and rollouts
A McGovern, JEB Moss
Advances in Neural Information Processing Systems, 903-909, 1999
Mobile agents on the digital battlefield
MO Hofmann, A McGovern, KR Whitebread
Proceedings of the second international conference on Autonomous agents, 219-225, 1998
Making the black box more transparent: Understanding the physical implications of machine learning
A McGovern, R Lagerquist, D John Gagne, GE Jergensen, KL Elmore, ...
Bulletin of the American Meteorological Society 100 (11), 2175-2199, 2019
Machine learning enhancement of storm-scale ensemble probabilistic quantitative precipitation forecasts
DJ Gagne, A McGovern, M Xue
Weather and Forecasting 29 (4), 1024-1043, 2014
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
A McGovern, DJ Gagne, JK Williams, RA Brown, JB Basara
Machine learning 95 (1), 27-50, 2014
acQuire-macros: An algorithm for automatically learning macro-actions
A McGovern
Proceedings of the NIPS’98 Workshop on Abstraction and Hierarchy in …, 1998
Hierarchical optimal control of MDPs
A McGovern, D Precup, B Ravindran, S Singh, RS Sutton
Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, 186-191, 1998
Identifying predictive structures in relational data using multiple instance learning
A McGovern, D Jensen
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
Statistical machine learning for large-scale optimization
S Baluja, AG Barto, KD Boese, J Boyan, W Buntine, T Carson, R Caruana, ...
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