| Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto | 487 | 2001 |
| 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 | 133 | 2017 |
| Autonomous discovery of temporal abstractions from interaction with an environment EA Mcgovern, AG Barto University of Massachusetts at Amherst, 2002 | 110 | 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 | 110 | 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 | 103 | 2011 |
| Macro-actions in reinforcement learning: An empirical analysis A McGovern, RS Sutton Computer Science Department Faculty Publication Series, 15, 1998 | 68 | 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 | 64 | 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 | 56 | 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 | 52 | 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 | 46 | 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 | 41 | 2008 |
| Scheduling straight-line code using reinforcement learning and rollouts A McGovern, JEB Moss Advances in Neural Information Processing Systems, 903-909, 1999 | 39 | 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 | 36 | 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 | 35 | 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 | 35 | 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 | 33 | 2014 |
| acQuire-macros: An algorithm for automatically learning macro-actions A McGovern Proceedings of the NIPS’98 Workshop on Abstraction and Hierarchy in …, 1998 | 32 | 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 | 31 | 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 | 29 | 2003 |
| Statistical machine learning for large-scale optimization S Baluja, AG Barto, KD Boese, J Boyan, W Buntine, T Carson, R Caruana, ... | 27 | 2000 |
David John Gagne IINational Center for Atmospheric ResearchVerified email at ucar.edu
