Research Interests

I am part of the Multi-Agent Planning and LEarning (MAPLE) research group at UMBC. My academic advisor is Dr. Marie desJardins.

My primary research interests are in the areas of artificial intelligence and machine learning, with my dissertation focusing on transfer learning. My other (academic) interests include: life-long learning, clustering and unsupervised learning, interactive AI, preference learning, and human-computer interaction through intelligent interfaces. I am especially interested in applications of AI to medicine, search and rescue, and space exploration.

Teaching

Fall 2007:    CMSC 471 - Artificial Intelligence

Past Classes:
Fall 2006:    CMSC 121 - Introduction to Unix (Sections 0101 & 0102)
Fall 2005:    CMSC 121 - Introduction to Unix (Section 0102)
Spring 2005:    CMSC 203 - Discrete Structures

Software

Gridworld search and rescue: a project framework for a course in artificial intelligence.
This educational software allows students to develop an intelligent agent for a search and rescue application in a partially observable gridworld. It allows students to focus on high-level AI issues for solving the problem rather than low-level robotic navigation. It was used as the semester project for CMSC 471 (Artificial Intelligence) in Fall 2007 at UMBC.

DDPref: Learning Preferences for Sets of Objects
A Java implementation of the DDPref language for expressing preferences over sets of objects, and an algorithm for learning those preferences from example sets. The DDPref language and learning algorithm are described in the ICML-06 paper Learning user preferences for sets of objects.

Contact Information

Mailing:
Eric Eaton
Department of Computer Science and Electrical Engineering
UMBC ITE 325
1000 Hilltop Circle
Baltimore, MD 21250


Office:    ITE 201F
Research Lab:    ITE 339
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