Amy McGovern

Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density

This paper presents a method by which a reinforcement learning agent can automatically discover certain types of subgoals online. By creating useful new subgoals while learning, the agent is able to… (More)

Roles of Macro - Actions in Accelerating Reinforcement

Amy McGovern, Richard S. Sutton, Andrew H. Fagg
1997

We analyze the use of built-in policies, or macro-actions, as a form of domain knowledge that can improve the speed and scaling of reinforcement learning algorithms. Such macro-actions are often used… (More)

Transneuronal tracing of airways-related sensory circuitry using herpes simplex virus 1, strain H129.

Amy McGovern, Nicholas J Davis-Poynter, Michael J. Farrell, Stuart B. Mazzone
Neuroscience
2012

Sensory input from the airways to suprapontine brain regions contributes to respiratory sensations and the regulation of respiratory function. However, relatively little is known about the central… (More)

Creating significant learning experiences in introductory artificial intelligence

We introduced an arcade-style gaming environment for use in a mixed undergraduate and graduate introductory artificial intelligence (AI) course. Our primary goal in this course was to provide… (More)

Spatiotemporal Relational Probability Trees: An Introduction

Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne, Rodger A. Brown
2008 Eighth IEEE International Conference on Data…
2008

We introduce spatiotemporal relational probability trees (SRPTs), probability estimation trees for relational data that can vary in both space and time. The SRPT algorithm addresses the exponential… (More)

Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts

The execution order of a block of computer instructions can make a difference in its running time by a factor of two or more. In order to achieve the best possible speed, compilers use heuristic… (More)

Mobile Agents on the Digital Battlefield

Martin O. Hofmann, Amy McGovern, Kenneth R. Whitebread
Agents
1998

The Domain Adaptive Information System (DAIS) is a mobile intebigent agent system for information discovery and dissemination in a military intelligence network DAIS is used reliably over low… (More)

Exploiting relational structure to understand publication patterns in high-energy physics

Amy McGovern, Lisa Friedland, +4 authors David D. Jensen
SIGKDD Explorations
2003

We analyze publication patterns in theoretical high-energy physics using a relational learning approach. We focus on four related areas: understanding and identifying patterns of citations, examining… (More)

Macro Actions in Reinforcement Learning An Empirical Analysis

Amy McGovern, Richard S. Sutton
1998

Several researchers have proposed reinforcement learning methods that obtain ad vantages in learning by using temporally extended actions or macro actions but none has carefully analyzed what these… (More)

Autonomous Discovery of Abstractions through Interaction with an Environment

Amy McGovern
SARA
2002

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