Amy McGovern

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2007
9EEWilliam Dabney, Amy McGovern: Utile Distinctions for Relational Reinforcement Learning. IJCAI 2007: 738-743
8EEAmy McGovern, Jason Fager: Creating significant learning experiences in introductory artificial intelligence. SIGCSE 2007: 39-43
2003
7 Amy McGovern, David Jensen: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML 2003: 528-535
6EEAmy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)
2002
5EEAmy McGovern: Autonomous Discovery of Abstractions through Interaction with an Environment. SARA 2002: 338-339
4 Amy McGovern, J. Eliot B. Moss, Andrew G. Barto: Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. Machine Learning 49(2-3): 141-160 (2002)
2001
3 Amy McGovern, Andrew G. Barto: Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. ICML 2001: 361-368
1998
2EEMartin O. Hofmann, Amy McGovern, Kenneth R. Whitebread: Mobile Agents on the Digital Battlefield. Agents 1998: 219-225
1EEAmy McGovern, J. Eliot B. Moss: Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. NIPS 1998: 903-909

Coauthor Index

1Andrew G. Barto [3] [4]
2William Dabney [9]
3Jason Fager [8]
4Andrew Fast [6]
5Lisa Friedland [6]
6Brian Gallagher [6]
7Michael Hay [6]
8Martin O. Hofmann [2]
9David Jensen [6] [7]
10J. Eliot B. Moss [1] [4]
11Jennifer Neville [6]
12Kenneth R. Whitebread [2]

Colors in the list of coauthors

Copyright © Fri Sep 5 16:23:00 2008 by Michael Ley (ley@uni-trier.de)