Publications by Alan Fern

2009

Lower Bounding Klondike Solitaire with Monte-Carlo Planning

Ronald Bjarnason, Alan Fern, and Prasad Tadepalli

to appear in International Conference on Automated Planning and Scheduling (ICAPS-2009)

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Learning Linear Ranking Functions for Beam Search with Application to Planning

Yuehua Xu, Alan Fern, and Sungwook Yoon

Journal of Machine Learning Research (JMLR),10, 1349-1388, 2009

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UCT for Tactical Assault Planning in Real-Time Strategy Games

Radha-Krishna Balla and Alan Fern

to appear in International Joint Conference on Artificial Intelligence (IJCAI-2009)

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Discriminatively Trained Particle Filters for Complex Multi-Object Tracking

Robin Hess and Alan Fern

to appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2009)

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Simulation-Based Optimization of Resource Placement and Emergency Response

Ronald Bjarnason, Prasad Tadepalli, and Alan Fern

to appear in Innovative Applications of Artificial Intelligence (IAAI-2009)

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A Penalty-Logic Simple-Transition Model for Structured Sequences

Alan Fern

to appear in Computational Intelligence

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Learning First-Order Probabilistic Models with Combining Rules

Sriraam Natarajan, Prasad Tadepalli, Thomas Dietterich, and Alan Fern

to appear in Annals of Mathematics and Artificial Intelligence

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Learning Weighted Rule Sets for Forward Search Planning

Yuehua Xu, Alan Fern, and Sungwook Yoon

to appear in Workshop on Planning and Learning at ICAPS-2009

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On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern

to appear in Wireless Personal Communications an International Journal

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User Initiated Learning for Adaptive Interfaces

Kshitij Judah, Thomas Dietterich, Alan Fern, Jed Irvine, Michael Slater, Prasad Tadepalli, Melinda Gervasio, Christopher Ellwood, Bill Jarrold, Oliver Brdiczka, and Jim Blythe

to appear in IJCAI-09 Workshop on Intelligence and Interaction

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2008

Probabilistic Planning via Determinization in Hindsight

Sungwook Yoon, Alan Fern, Robert Givan, and Subbarao Kambhampati

to appear in AAAI Conference on Artificial Intelligence (AAAI-2008)

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Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks

Scott Dejmal, Alan Fern, and Thinh Nguyen

to appear in Innovative Applications of Artificial Intelligence (IAAI-2008)

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Learning Control Knowledge for Forward Search Planning

Sungwook Yoon, Alan Fern, and Robert Givan

Journal of Machine Learning Research (JMLR), 9, 683-718, 2008

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Scalable Video Streaming for Single-Hop Wireless Networks using a Contention-Based Access MAC Protocol

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern

Advances in Multimedia, to appear

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Transfer in Variable-Reward Hierachical Reinforcement Learning

Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, and Alan Fern

Machine Learning Journal (MLJ), to appear

HTML or PDF (draft)

Learning and Transferring Roles in Multi-Agent Reinforcement Learning

Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli

AAAI-08 Workshop on Transfer Learning for Complex Tasks

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2007

Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets

Robin Hess, Alan Fern, Eric Mortenson

IEEE International Conference on Computer Vision (ICCV-2007)

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Online Planning for Resource Production in Real-Time Strategy Games

Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, and Chris Ventura

International Conference on Automated Planning and Scheduling (ICAPS-2007)

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FF-Replan: A Baseline for Probabilistic Planning

Sungwook Yoon, Alan Fern, and Robert Givan

International Conference on Automated Planning and Scheduling (ICAPS-2007)

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On Learning Linear Ranking Functions for Beam Search

Yuehua Xu and Alan Fern

International Conference on Machine Learning (ICML-2007)

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Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach

Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli

International Conference on Machine Learning (ICML-2007)

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Learning for Efficient Retrieval of Structured Data with Noisy Queries

Charles Parker, Alan Fern, and Prasad Tadepalli

International Conference on Machine Learning (ICML-2007)

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Toward Learning Mixture-of-Parts Pictorial Structures

Robin Hess and Alan Fern

ICML-2007 Workshop on Constrained Optimization and Structured Output Spaces

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A Relational Hierarchical Model for Decision-Theoretic Assistance (draft)

Sriraam Natarajan, Prasad Tadepalli, and Alan Fern

International Conference on Inductive Logic Programming (ILP-2007)

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Improved Video Registration using Non-Distinctive Local Image Features

Robin Hess and Alan Fern

IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2007)

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Wireless Video Streaming with Collaborative Admission Control for Home Networks

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern

International Conference on Multimedia and Expo (ICME-2007)

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Discriminative Learning of Beam-Search Heuristics for Planning

Yuehua Xu, Alan Fern, and SungWook Yoon

International Joint Conference on Artificial Intelligence (IJCAI-2007)

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Revisiting Output Coding for Sequential Supervised Learning

Guohua Hao and Alan Fern

International Joint Conference on Artificial Intelligence (IJCAI-2007)

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A Decision-Theoretic Model of Assistance

Alan Fern, Sriraam Natarajan, Kshitij Judah, and Prasad Tadepalli

International Joint Conference on Artificial Intelligence (IJCAI-2007)

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Using Learned Policies in Heuristic-Search Planning

SungWook Yoon, Alan Fern, and Robert Givan

International Joint Conference on Artificial Intelligence (IJCAI-2007)

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Searching Solitaire in Real Time

Ronald Bjarnason, Prasad Tadepalli, and Alan Fern
International Computer Games Association Journal, 30 (3), 131-142, 2007
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Reinforcement Learning in Relational Domains: A Policy-Language Approach (draft)

Alan Fern, Sungwook Yoon, and Robert Givan
In Lise Getoor and Ben Taskar, eds. Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA.
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Speedup Learning (draft)

Alan Fern
In Claude Sammut, ed. Encyclopedia of Machine Learning. Springer-Verlag, New York, NY.
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2006

Gradient Boosting for Sequence Alignment

Charlie Parker, Alan Fern, and Prasad Tadepalli

National Conference on Artificial Intelligence (AAAI-2006)

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Learning Heuristic Functions from Relaxed Plans

Sungwook Yoon, Alan Fern, and Robert Givan

International Conference on Automated Planning and Scheduling (ICAPS-2006)

Sequential Inference with Reliable Observations: Learning to Construct Force-Dynamic Models

Alan Fern and Robert Givan

Artificial Intelligence, 170 (14-15), 1081-1122, 2006

Dynamic Feature Selection for Hardware Prediction

Alan Fern, Robert Givan, Babak Falsafi, and T. N. Vijaykumar

Journal of Systems Architecture, 52, 4, 213-234, 2006

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Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes

Alan Fern, Sungwook Yoon, and Robert Givan

Journal of Artificial Intelligence Research (JAIR), 25, 85-118, 2006

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2005

A Simple-Transition Model for Relational Sequences

Alan Fern

International Joint Conference on Artificial Intelligence (IJCAI-2005)

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Learning Measures of Progress for Planning Domains

SungWook Yoon, Alan Fern, Robert Givan

National Conference on Artificial Intelligence (AAAI-2005)

postscript

Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo Restificar

International Conference on Machine Learning (ICML-2005)

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2004

Learning Models and Formulas of a Temporal Event Logic

Purdue University Ph.D. Thesis, August 2004

compressed postscript

Relational Sequential Inference with Reliable Observations

Alan Fern and Robert Givan

International Conference on Machine Learning (ICML-2004)

postscript

Learning Domain-Specific Control Knowledge from Random Walks

Alan Fern, SungWook Yoon, and Robert Givan

International Conference on Automated Planning and Scheduling (ICAPS-2004)

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2003

Approximate Policy Iteration with a Policy Language Bias

Alan Fern, SungWook Yoon, and Robert Givan

Advances in Neural Information Processing Systems 16 (NIPS-2003)

postscript

Online Ensemble Learning: An Empirical Study

Alan Fern and Robert Givan

Machine Learning Journal (MLJ), 53(1/2), pp. 71-109, 2003

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2002

Specific-to-General Learning for Temporal Events with Application to Video Event Recognition

Alan Fern, Robert Givan, and Jeffrey Mark Siskind

Journal of Artificial Intelligence Research (JAIR), 17, 379-449, 2002

online journal

Inductive Policy Selection for First-Order Markov Decision Processes

SungWook Yoon, Alan Fern, and Robert Givan

Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI-2002)

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Specific-to-General Learning for Temporal Events

Alan Fern, Robert Givan, and Jeffrey Mark Siskind

Eighteenth National Conference on Artificial Intelligence (AAAI-2002)

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Learning Temporal, Relational, Force-Dynamic Event Definitions from Video

Alan Fern, Jeffrey Mark Siskind, and Robert Givan

Eighteenth National Conference on Artificial Intelligence (AAAI-2002)

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2000

Online Ensemble Learning: An Empirical Study

Alan Fern and Robert Givan

International Conference on Machine Learning (ICML-2000)

postscript

1998

Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach

Alan Fern, Mohamad Musavi, and Jon Miranda

IEEE Transactions on Geoscience and Remote Sensing, 36(3), 1998

1997

Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach

Alan Fern, Mohamad Musavi, and Jon Miranda

International Conference on Neural Networks (ICNN-1997)

Pulp Digester Level Prediction Using Multiresolution Networks of Locally Active Units

Alan Fern, Jon Miranda, Mohamad Musavi, and Dan Coughlin

International Conference on Neural Networks (ICNN-1997)

1995

A VLSI Circuit for Recreating Living Nerve Networks

Seth Wolpert, Andrew Laffely, and Alan Fern

Twenty-First IEEE Northeast Bioengineering Conference, 1995