Alan
Fern
Associate Professor
School of Electrical Engineering and Computer
Science
Oregon State University
Office Location: 2071 Kelley Engineering Center
(541) 737-9202 (office)(I never check
phone messages, send an email instead)
(541) 737-1300 (fax)
E-mail: afern@eecs.oregonstate.edu
Postal Address: Kelley Engineering Center, Corvallis, OR 97330-5501, U.S.A.
Quick Links: Teaching Research
Publications
Students Resources
Education
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B.S.
Electrical Engineering, University of Maine, 1997
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M.S.
Computer Engineering, Purdue University, 2000
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Ph.D.
Computer Engineering, Purdue University, 2004 (advised by Robert Givan)
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Teaching
Research
My primary research interests are in the field of artificial
intelligence, where I focus on the sub-areas of machine learning and automated planning.
I am particularly interested in the intersection of these two areas where we
develop algorithms that learn to plan more effectively based on past experiences.
A sample of some of my current and recent research projects include: Also see
my Publications
I co-organized the first learning track for the 2008 6th International Planning
Competition that is held in conjunctions with the International Conference on Automated
Planning and Scheduling. See the competition web-site for details.
Current Graduate Students
- Sheng Chen
- Nima Dolatnia
- Janardhan Rao ( Jana ) Doppa
(co-advised
w/ Prasad Tadepalli)
- Jesse Hostetler (co-advised w/ Tom Dietterich)
- Kshitij Judah
- Qingkai Lu
- Jervis Pinto
- Md Amran
Siddiqui
- Henry Trimbach
- Shan Xu
Former Students
- Kranti Kumar, MS 2013 (co-advised
with Prasad Tadepalli), Thesis: Coactive Learning for Multi-Robot Search and
Coverage
- Shikhar Mall, MS 2013, Project: Reinforcement
Learning for P2P Backup Applications
- Joe Selman, MS 2012, Project: REPEL: An Inference Engine for
Probabilistic Event Logic
- Aaron
Wilson,
PhD 2012 (co-advised with Prasad Tadepalli),
Thesis: Bayesian Methods for
Knowledge Transfer and Policy Search in Reinforcement Learning
- Rob Hess, PhD 2012, Thesis: Toward Computer Vision for
Understanding American Football in Video
- Brian King, MS 2012, Thesis: Adversarial Planning by Strategy
Switching in a Real-Time Strategy Game
- Yuehua Xu, PhD 2010, Thesis: Learning
Ranking Functions for Efficient Search
- Paul Lewis, MS 2010, Thesis:
Ensemble Monte-Carlo Planning: An Empirical Study
- Ronny Bjarnason, PhD 2010 (co-advised with Prasad Tadepalli):
Monte-Carlo Planning for
Probabilistic Domains
- Guohua Hao, MS 2009, Thesis: Revisiting
Output Coding for Sequential Supervised Learning
- Radha-Krishna Balla, MS, 2009, Thesis: UCT for Tactical Assaults in
Real-Time Strategy Games
- Sean McDougal, MS 2008, Project:
Automatic Panorama Stitching
- Benjamin Brewster, MS 2007, Project: Finding
and Using Chokepoints in Stratagus
- Christopher Ventura, MS 2007, Thesis: A
SAT-Based Planning Framework for Optimizing Resource Production
- Sungwook Yoon, PhD 2006 (co-advised
with Robert Givan), Thesis: Learning Control
Knowledge for AI Planning Domains
- Daman Oberoi, MS 2006, Project: "Simulation-Based
Optimization of Football Defenses"
- Hema Jyothi, MS 2006 (co-advised
with Thinh Nguyen), Project: "Reinforcement
Learning for Network Routing"
Resources
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ICAPS 2010 Monte-Carlo Planning Tutorial (PDF,
PPT)