McGovern, Amy (2002) Autonomous Discovery of Temporal Abstractions from Interaction with an Environment. University of Massachusetts Amherst. [postscript (1984K) | gzipped postscript (774K) | pdf (664K)]
McGovern, Amy and Jensen, David (2008) Optimistic Pruning for Multiple Instance Learning. Pattern Recognition Letters. Volume 29, Issue 9, pages 1252-1260. [pdf (224K, submitted version. The final version is online here.)]
McGovern, Amy and Utz, Christopher M. and Walden, Susan E. and Trytten, Deborah A. and Shehab, Randa L. (2008) Learning the Structure of Retention Data using Bayesian Networks. To appear in the 2008 Frontiers in Education Conference.
Dabney, William, and McGovern, Amy (2007) Utile Distinctions for Relational Reinforcement Learning. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-07), pages 738-743. [pdf (490K)]
McGovern, Amy, and Fager, Jason. (2007) Creating Significant Learning Experiences in Introductory Artificial Intelligence. Proceedings of SIGCSE 2007, technical symposium on computer science education, pages 39-43. [pdf (223K)]
McGovern, Amy, Friedland, Lisa, Hay, Michael, Gallagher, Brian, Fast, Andrew, Neville, Jennifer, and Jensen, David (2003) Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics, Knowledge Discovery Laboratory, University of Massachusetts Amherst. (2003). SIGKDD Explorations, December 2003, Volume 5, Issue 2, pages 165-172. Winning entry to the open task for KDD Cup. [pdf (1.6MB)]
McGovern, Amy , and Jensen, David (2003) Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. Proceedings of the 20th International Conference on Machine Learning, pages 528-535. [postscript (252K) | gzipped postscript (160K) | pdf (112K)]
McGovern, Amy , Moss, Eliot, and Andrew G. Barto (2002) Building a Basic Block Instruction Scheduler using Reinforcement Learning and Rollouts, Machine Learning, Special Issue on Reinforcement Learning. Volume 49, Numbers 2/3, Pages 141-160. [postscript (200K) | gzipped postscript (60K) | pdf (160K)]
McGovern, Amy , and Barto, Andrew G. (2001) Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. Proceedings of the 18th International Conference on Machine Learning, pages 361-368. [postscript (252K) | gzipped postscript (160K) | pdf (112K)]
McGovern, Amy , and Barto, Andrew G. (2001) Accelerating Reinforcement Learning through the Discovery of Useful Subgoals. Proceedings of the 6th International Symposium on Artificial Intelligence, Robotics and Automation in Space: i-SAIRAS 2001, electronically published. [postscript (184K) | gzipped postscript (45K) | pdf (95K)]
McGovern, Amy , and Moss, Eliot (1998) Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts, Proceedings of the 11th Neural Information Processing Systems Conference (NIPS '98), pages 903-909. [postscript (120K) | gzipped postscript (34K) | pdf (80K)]
Hofmann, Martin O., McGovern, Amy , Whitebread, Kenneth R. (1998) Mobile Agents Prevail in the Digital Battlefield. In the Proceedings of the 2nd International Conference on Autonomous Agents (Agents'98), pages 219-225. [postscript (696K) | gzipped postscript (200K) | pdf (80K)]
McGovern, Amy , Sutton, Richard S., Fagg, Andrew H. (1997) Roles of Macro-Actions in Accelerating Reinforcement Learning. 1997 Grace Hopper Celebration of Women in Computing, pages 13-18. [postscript (472K) | gzipped postscript(72K) | pdf(184K)]
Hiers, Nathan; McGovern, Amy; Rosendahl, Derek H.; Brown, Rodger A; Droegemeier, Kelvin K. and Beaton, Meredith G. (2008). Using Spatiotemporal Relational Data Mining to Identify the Key Parameters for Anticipating Rotation Initiation in Simulated Supercell Thunderstorms. To appear in the preprints of the Sixth Conference on Artificial Intelligence and its Applications to the Environmental Sciences, joint session with the 24th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology.
Gagne II, David John; McGovern, Amy and Brotzge, Jerry. (2008) Automated Classification of Convective Areas in Reflectivity using Decision Trees. To appear in the preprints of the Sixth Conference on Artificial Intelligence and its Applications to the Environmental Sciences, joint session with the 19th Conference on Probability and Statistics in the Atmospheric Sciences.
Gagne II, David John; McGovern, Amy and Brotzge, Jerry. (2008) Using Multiple Machine Learning Techniques to Improve the Classification of a Storm Set. To appear in the preprints of the Sixth Conference on Artificial Intelligence and its Applications to the Environmental Sciences.
McGovern, Amy, and Rosendahl, Derek H., and Kruger, Adrianna, and Beaton, Meredith G., and Brown, Rodger A., and Droegemeier, Kelvin K. (2007) Understanding the formation of tornadoes through data mining. Preprints of the Fifth Conference on Artificial Intelligence and its Applications to Environmental Sciences at the American Meteorological Society annual conference. [pdf (1.9M)]
Beitelspacher, Josh and Fager, Jason and Henriques, Greg and McGovern, Amy. (2006) Policy Gradient vs. Value Function Approximation: A Reinforcement Learning Shootout. University of Oklahoma, School of Computer Science, Technical Report CS-TR-06-001. [pdf (346K)]
McGovern, Amy , and Jensen, David (2003) Chi squared: a simpler evaluation function for multiple-instance learning. University of Massachusetts, Amherst Technical Report 03-14. [postscript (360K) | gzipped postscript (91K) | pdf (192K)]
McGovern, Amy , and Moss, Eliot, and Barto, Andrew G. (1999) Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. University of Massachusetts, Amherst Technical Report 99-23. [postscript (168K) | gzipped postscript (52K) | pdf (144K)]McGovern, Amy , and Sutton, Richard S. (1998) Macro-Actions in Reinforcement Learning: An Empirical Analysis, Master's thesis and University of Massachusetts, Amherst Technical Report 98-70 [postscript (3656K) | gzipped postscript (440K) | pdf (840K)]
McGovern, Amy, Kruger, Adrianna, Rosendahl, Derek, and Droegemeier, Kelvin. (2006) Open problem: Dynamic Relational Models for Improved Hazardous Weather Prediction. Presented at the ICML Workshop on Open Problems in Statistical Relational Learning. [pdf 204K]
Dabney, William and McGovern, Amy. (2006) The Thing That We Tried That Worked: Utile Distinctions for Relational Reinforcement Learning. Presented at the ICML Workshop on Open Problems in Statistical Relational Learning. [pdf 529K]
McGovern, Amy, Friedland, Lisa, Hay, Michael, Gallagher, Brian, Fast, Andrew, Neville, Jennifer, and Jensen, David (2003) Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics, Knowledge Discovery Laboratory, University of Massachusetts Amherst. Winning entry to the open task for KDD Cup. Presented at KDD 2003. [kdl_kddcup2003.pdf (1.1MB)]
Blau, Hannah and McGovern, Amy . (2003) Categorizing Unsupervised Relational Learning Algorithms. For the Workshop on Learning Statistical Models from Relational Data at International Joint Conference on Artificial Intelligence
McGovern, Amy and Barto, Andrew G.. (2002) Autonomous Discovery of Temporal Abstractions from Interaction with an Environment.Poster presentation at the Symposium on Abstraction, Refomulation, and Approximation (SARA 2002) [pdf (568K)] Abstract appears in Lecture Notes in Computer Science, Volume 2371/2002, pages 338-339. [pdf (78K)]
McGovern, Amy . Scheduling Java Byte Code in the Java Virtual Machine Using Reinforcement Learning, Presented at the 2001 Workshop on Reinforcement Learning.
McGovern, Amy , and Barto, Andrew G. (2001) Linear Discriminant Diverse Density for Automatic Discovery of Subgoals in Reinforcement Learning Poster presentation at the Workshop on Hierarchy and Memory in Reinforcement Learning at the 18th International Conference on Machine Learning.
McGovern, Amy. (2000) Birds of a Feather Session: Women Students in Computer Science Presented at the 2000 Grace Hopper Celebration of Women in Computing
McGovern, Amy , and Moss, Eliot, and Barto, Andrew G. (1999) Basic-block Instruction Scheduling Using Reinforcement Learning and Rollouts. Proceedings of the 1999 IJCAI workshop on learning and optimization. [postscript (154K)| gzipped postscript (49K) | pdf (120K)]
McGovern, Amy (1998) acQuire-macros: An Algorithm for Automatically Learning Macro-actions, In the Neural Information Processing Systems Conference (NIPS '98) workshop on Abstraction and Hierarchy in Reinforcement Learning [postscript (1368K) | gzipped postscript (160K) | pdf (272K)]
McGovern, Amy , Precup, Doina, Ravindran, B., Singh, Satinder , and Sutton, Richard S. (1998) Hierarchical Optimal Control of MDPs, Proceedings of the 10th Yale Workshop on Adaptive and Learning systems. [postscript (2824K) | gzipped postscript (600K) | pdf (494K)]
McGovern, Amy and Sutton, Richard S. (1997) Towards a better Q(lambda). Presented at the Fall 1997 Reinforcement Learning Workshop
(2003) Co-chair for the ICML 2003 Workshop on Machine Learning Technologies for Autonomous Space Applications
(1999) Organizer for the 1999 New England Spring Symposium on Reinforcement Learning