2019
Anurag Koul, Alan Fern, and Sam Greydanus. (2019). Learning Finite State Representations of Recurrent Policy Networks. International Conference on Learning Representations (ICLR-2019). (Open Review)
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett. (2019). Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. International Joint Conference on Artificial Intelligence (IJCAI-2019). (arXiv)
Zoe Juozapaitis, Anurag Koul, Alan Fern, Martin Erwig, and Finale Doshi-Velez. (2019). Explainable Reinforcement Learning via Reward Decomposition. IJCAI Workshop on Explainable Artificial Intelligence. PDF
Mandana
Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li,
Prasad Tadepalli. (2019). Interactive
Naming for Explaining Deep Neural Networks: A Formative Study. IUI
Workshop on EXplainable Smart Systems (EXSS). (arXiv)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, and Weng-Keen Wong. (2019). Sequential Feature Explanations for Anomaly Detection. ACM Transactions on Knowledge Discovery from Data, 13 (1). (online access)
Jose Picado, Arash Termehchy, Alan Fern, and Parisa Ataei. (2019). Logical Scalability of Efficiency of Relational Learning Algorithms. VLDB Journal, 28(2), pp. 147-171. (PDF)
Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Fern, Daniel Fink, Douglas Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John Gregoire, John Hopcroft, Steve Kelling, Zico Kolter, Warren Powell, Nicole Sintov, John Selker, Bart Selman, Daniel Sheldon, David Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman. (2019). Computational Sustainability: Computing for a Better World and Sustainable Future. Communications of the ACM. September, 62 (2). (online access)
Erich Merrill, Alan Fern, Xiaoli Fern, and Nima Dolatnia. (to appear). An Empirical Study of Bayesian Optimization:Acquisition Versus Partition. Journal of Machine Learning Research.
2018
Murugeswari Issakkimuthu, Alan Fern, and Prasad Tadepalli. (2018). Training Deep Reactive Policies for Probabilistic Planning Problems. International Conference on Automated Planning and Scheduling Systems (ICAPS-2018). PDF
Md Amran Siddiqui, Alan Fern, Thomas Dietterich, Ryan Wright, Alec Theriault, and David Archer. (2018). Feedback-Guided Anomaly Discovery via Online Optimization. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2018). PDF
Samuel Greydanus, Anurag Koul, Jonathan Dodge, and Alan Fern. (2108). Visualizing and Understanding Atari Agents. International Conference on Machine Learning (ICML-2018). PDF
Si Liu, Risheek Garrepalli, Thomas Dietterich, Alan Fern, and Dan Hendrycks. (2018). Open Category Detection with PAC Guarantees. International Conference on Machine Learning (ICML-2018). PDF
D. Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, and Alan Fern. (2018). Emergency Response Optimization using Online Hybrid Planning. International Joint Conference on Artificial Intelligence (IJCAI-2018). PDF
Patrick Clary, Pedro Morais, Jonathan Hurst, and Alan Fern. (2018). Monte-Carlo Planning for Agile Legged Locomotion. International Conference on Automated Planning and Scheduling Systems (ICAPS-2018). PDF
Taylor Apgar, Patrick Clary, Kevin Green, Alan Fern, and Jonathan Hurst. (2018). Fast Online Trajectory Optimization for the Bipedal Robot Cassie. Robotics: Science and Systems (RSS-2018).
Md Amran Siddiqui, Alan Fern, Ryan Wright, Alec Theriault,
Dave Archer, William Maxwell. (2018). Detecting
Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with
Feedback. AAAI Workshop on Artificial
Intelligence in Cyber Security (AICS).
Jose Picado, Sudhanshu Pathak, Arash Termehchy, and Alan Fern. (2018). AutoMode: Relational Learning with Less Black Magic. IEEE International Conference on Data Engineering (Demonstration Track).
Martin Erwig, Alan Fern, Magesh Murali, and Anurag Koul. (2018). Explaining Deep Adaptive Programs via Reward Decomposition. IJCAI Workshop on Explainable Artificial Intelligence.
Anurag Koul, Sam Greydanus, and Alan Fern. (2108). Toward Learning Finite State Representations of Recurrent Policy Networks. IJCAI Workshop on Explainable Artificial Intelligence.
Md Amran Siddiqui, Alan Fern, Thomas Dietterich, and Weng-Keen Wong. (to appear). Sequential Feature Explanations for Anomaly Detection. ACM Transactions on Knowledge Discovery from Data.
2017
Jesse Hostetler, Alan Fern, and Tom Dietterich. (2017). Monte Carlo Tree Search with Fixed and Adaptive State Abstractions. Journal of Artificial Intelligence Research, 60, pp. 717-777. web link
Jervis Pinto and Alan Fern. (2017). Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning. Journal of Machine Learning Research, 18(65), pp. 1−35. web link
Mandana Hamidi-Haines, Robby Goetshalchx, Prasad Tadepalli, and Alan Fern. (2017). Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. International Conference on Algorithmic Learning Theory (ALT-2017).
Behrooz Mahasseni, Sinisa Todorovic, and Alan Fern. (2017). Budget-Aware Deep Semantic Video Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2017). (Acceptance Rate: 29%).
Ashwin Raghavan, Scott Sanner, Prasad Tadepalli, Roni Khardon, and Alan Fern. (2017). Hindsight Optimization for Hybrid State and Action MDPs. AAAI Conference on Artificial Intelligence (AAAI-2017). (Acceptance Rate: 25%).
Jose Picado, Arash Termehchy, Alan Fern and Sudhanshu Pathak. (2017). Towards Automatically Setting Language Bias in Relational Learning (short paper). International Conference on Inductive Logic Programming (ILP-2017).
Jose Picado, Arash Termehchy, Alan Fern, and Parisa Ataei. (2017). Schema Independent Relational Learning. ACM SIGMOD International Conference on Management of Data (SIGMOD-2017).
2016
Md Amran Siddiqui, Alan Fern, Thomas Dietterich, and Shubhomoy Das. (2016). Finite Sample Complexity of Rare Pattern Anomaly Detection. Conference on Uncertainty in Artificial Intelligence (UAI-2016). PDF
Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, and Alan Fern. (2016). Incorporating Expert Feedback into Active Anomaly Discovery. IEEE International Conference on Data Mining (ICDM-2016). PDF
Nima Dolatnia, Alan Fern, and Xiaoli Fern. (2016). Bayesian
Optimization with Resource Constraints and Production. International
Conference on Automated Planning and Scheduling Systems (ICAPS-2016). PDF
Jose Picado, Parisa Ataie, Arash Termehchy and Alan Fern. (2016). Schema Independent and Scalable Relational Learning by Castor. Proceedings of the VLDB Endowment (PVLDB-2016). PDF
Javad Azimi, Xiaoli Fern, and Alan Fern. (2016). Budgeted Optimization with Constrained Experiments. Journal of Artificial Intelligence Research, 56, pp. 119-152. web link
2015
Jesse Hostetler, Alan Fern and Tom Dietterich.(2015). Progressive Abstraction Refinement for Sparse Sampling. Conference on Uncertainty in Artificial Intelligence (UAI-2015). PDF
Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, and Shan Xue. (2015). Hindsight Optimization for Probabilistic Planning with Factored Actions. International Conference on Automated Planning and Scheduling (ICAPS-2015). PDF
Md Amran Siddiqui, Alan Fern, Thomas Dietterich, and Weng-Keen Wong. (2015). Sequential Feature Explanations for Anomaly Detection. SIGKDD Workshop on Outlier Detection and Description. PDF
Ashwin Raghavan, Roni Khardon, Prasad Tadepalli, and Alan
Fern. (2015). Memory-Efficient Symbolic Online Planning for Factored MDPs.
Conference on Uncertainty in Artificial Intelligence (UAI-2015). PDF
Sheng Chen, Alan Fern, and Sinisa Todorovic. (2015). Person Count Localization in Videos from Noisy Foreground and Detections. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2015). PDF
Robby Goetschalckx, Alan Fern and Prasad Tadepalli. (2015). Multitask Coactive Learning. International Joint Conference on Artificial Intelligence (IJCAI-2015). PDF
Mandana Hamidi, Robby Goetschalckx, Prasad Tadepalli, and Alan Fern. (2015). Active Imitation Learning of Hierarchical Policies. International Joint Conference on Artificial Intelligence (IJCAI-2015). PDF
Hao Cui, Roni Khardon, Alan Fern, and Prasad Tadepalli. (2015). Factored MCTS for Large Scale Stochastic Planning. AAAI Conference on Artificial Intelligence (AAAI-2015). PDF
Frank Liu, Rob Hess, and Alan Fern. (2015). Efficiently Constructing Mosaics from Video Collections. IEEE Winter Conference on Applications of Computer Vision (WACV-2015). PDF
Shan Xue, Alan Fern, and Dan Sheldon. (2015). Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization. Journal of Artificial Intelligence Research, 52, pp. 331-360. PDF
2014
Jervis Pinto and Alan Fern. (2014). Learning Partial Policies to Speedup MDP Tree Search. Conference on Uncertainty in Artificial Intelligence (UAI-2014). PDF
Kshitij Judah, Alan Fern, Thomas Dietterich, and Prasad Tadepalli. (2014). Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning. Journal of Machine Learning Research, 15, pp. 3925−3963. online
Sheng Chen, Alan Fern, and Sinisa Todorovic. (2014). Multi-Object Tracking via Constrained Sequential Labeling. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2014). PDF
Jesse Hostetler, Alan Fern and Tom Dietterich.(2014). State Aggregation in Monte Carlo Tree Search. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF
Sheng Chen, Zhongyuan Feng, Qingkai Lu, Trevor Fiez, Behrooz Mahasseni, Alan Fern, and Sinisa Todorovic. (2014). Play Type Recognition in Real-World Football Video. IEEE Winter Conference on Applications of Computer Vision (WACV-14). PDF
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2014). HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. Journal of Artificial Intelligence Research, 50, pp. 369-407. online
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2014). Structured Prediction via Output Space Search. Journal of Machine Learning Research, 15, pp. 1317−1350. online
Alan Fern, Sriraam Natarajan, Prasad Tadepalli, and Kshitij Judah. (2014). A Decision-Theoretic Model of Assistance. Journal of Artificial Intelligence Research, 50. online
Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2014). Improving Bayesian Optimization for Reinforcement Learning by Exploiting Trajectory Data. Journal of Machine Learning Research, 15, pp. 253-282. online
Kshitij Judah, Alan Fern, Prasad Tadepalli and Robby Goetschalckx. (2014). Imitation Learning with Demonstrations and Shaping Rewards. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF
Shan Xue, Alan Fern, and Daniel Sheldon. (2014). Dynamic Resource Allocation for Optimizing Population Diffusion. International Conference on Artificial Intelligence and Statistics (AISTATS-14). PDF
Robby Goetschalckx, Alan Fern and Prasad Tadepalli. (2014). Coactive Learning for Locally Optimal Problem Solving. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF
Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern and Prasad Tadepalli. (2014). HC-Search for Multi-Label Prediction: An Empirical Study. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF
2013
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2013). HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI Conference on Artificial Intelligence (AAAI-2013). PDF
Brian King, Alan Fern, and Jesse Hostetler. (2013). On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. International Conference on Automated Planning and Scheduling (ICAPS-2013). PDF
Behrooz Mahasseni, Sheng Chen, Alan Fern, and Sinisa Todorovic. (2013). Detecting the Moment of Snap in Real-World Football Video. Innovative Applications of Artificial Intelligence (IAAI-2013). PDF
Saket Joshi, Roni Khardon, Prasad
Tadepalli, Ashwin Raghavan, and Alan Fern. Solving Relational MDPs with
Exogenous Events and Additive Rewards. European Conference on Machine
Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-2013).
PDF
Ashwin Raghavan, Roni Khardon, Prasad Tadepalli, and Alan Fern.
(2013). Symbolic Opportunistic Policy Iteration for Factored-Action MDPs.
Advances in Neural Information Processing Systems (NIPS-2013). PDF
Mohamed R. Amer, Sinisa Todorovic, and Alan Fern. (2013). Monte Carlo Tree Search for Scheduling Activity Recognition. IEEE International Conference on Computer Vision. (ICCV-2013). PDF
Andrew Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern and Weng-Keen Wong. (2013). Systematic Construction of Anomaly Detection Benchmarks from Real Data. SIGKDD Workshop on Outlier Detection and Description. PDF
Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A.Bader, Edmond Chow, Irfan Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel Corkill, Lisa Friedland, Amanda Gentzel, David Jensen. (2013). Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2013). PDF
2012
Kshitij Judah, Alan Fern, and Tom Dietterich. (2012). Active
Imitation Learning via Reduction to I.I.D. Active Learning. Conference
on Uncertainty in Artificial Intelligence (UAI-12). PDF
Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2012). A
Bayesian Approach for Policy Learning from Trajectory Preference Queries. Advances
in Neural Information Processing Systems (NIPS-2011). PDF
Jesse Hostetler, Ethan Dereszynski,
Tom Dietterich, and Alan Fern. (2012). Inferring Strategies from Limited
Reconnaissance in Real-time Strategy Games. Conference on Uncertainty in
Artificial Intelligence (UAI-2012). PDF
Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2012). Output Space Search for Structured Prediction. International Conference on Machine Learning (ICML-12). PDF
Javad Azimi, Alan Fern, Xiaoli Fern, Glencora Borradaile, and Brent Heeringa. (2012). Batch Active Learning via Coordinated Matching. International Conference on Machine Learning (ICML-12). PDF (Supplementary Material)
Shan Xue, Alan Fern, and Dan Sheldon. (2012). Scheduling Conservation Designs via Network Cascade Optimization. AAAI Conference on Artificial Intelligence (AAAI-12). PDF
Aswin Nadamuni Raghavan, Alan Fern, Prasad Tadepalli, Roni Khardon, and Saket Joshi. (2012). Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Conference on Artificial Intelligence (AAAI-12). PDF
Brian King, Alan Fern, and Jesse Hostetler. (2012). Adversarial Policy Switching with Application to RTS Games. AIIDE Workshop on Artificial Intelligence in Adversarial Real-Time Games. PDF
2011
Javad Azami, Alan Fern, and Xiaoli Fern. (2011). Budgeted Optimization with Concurrent Stochastic-Duration Experiments. Advances in Neural Information Processing Systems (NIPS-2011). PDF (w/ appendix)
Neville Mehta, Prasad Tadepalli, and Alan Fern. (2011). Autonomous
Learning of Action Models for Planning. Advances in Neural Information
Processing Systems (NIPS-2011). PDF
William Brendel, Alan Fern, and Sinisa Todorovic.
(2011). Probabilistic Event Logic for Interval-Based Event Recognition. IEEE Conference on Computer Vision and
Pattern Recognition (CVPR-2011).
PDF
Ethan Dereszynski, Jesse Hostetler, Alan Fern, Tom Dietterich, T-T. Hoang, M. Udarbe. (2011). Learning Probabilistic Behavior Models in Real-time Strategy Games. Artificial Intelligence in Digital Entertainment (AIIDE-2011). PDF
Jervis Pinto, Alan Fern, Tim Bauer, and Martin Erwig. (2011). Improving Policy Gradient Estimates with Independence Information. Asian Conference on Machine Learning (ACML-2011). PDF
Joseph Selman and Alan Fern. (2011). Learning First-Order Definite Theories via Object-Based Queries. European Conference on Machine Learning (ECML-2011). PDF
Alan Fern, Roni Khardon, and Prasad Tadepalli. (2011). The First Learning Track of the International Planning Competition. Machine Learning, 84(1), pp. 81-107. PDF
Alan Fern and Paul Lewis. (2011). Ensemble Monte-Carlo Planning: An Empirical Study. International Conference on Automated Planning and Scheduling (ICAPS-2011). PDF
Tim Bauer, Martin Erwig, Alan Fern, and Jervis Pinto. (2011). Adaptation-Based
Programming in Java. ACM SIGPLAN
Workshop on Partial Evaluation and Program Manipulation (PEPM-2011).
PDF
Stracuzzi, D.J., Fern, A., Ali, K., Hess, R., Pinto, J., Li, N., Konik, T. and Shapiro, D. (2011). An application of transfer to American football: From observation of raw video to control in a simulated environment. AI Magazine, 32 (2). PDF preprint
2010
Javad Azami, Alan Fern, and
Xiaoli Fern. (2010). Batch Bayesian Optimization via Simulation Matching.
Advances in Neural Information Processing Systems (NIPS-2010). PDF
Alan Fern and Prasad Tadepalli. (2010). A Computational
Decision Theory for Interactive Assistants. Advances in Neural
Information Processing Systems (NIPS-2010). PDF
Kshitij Judah, Saikat Roy, Alan Fern, and Thomas Dietterich. (2010). Reinforcement Learning via Practice and Critique Advice. AAAI Conference on Artificial Intelligence (AAAI-2010). PDF
Jervis Pinto, Alan Fern, Tim Bauer, and Martin Erwig. (2010). Robust
Learning for Adaptive Programs by Leveraging Program Structure.
International Conference on Machine Learning Applications (ICMLA-2010). PDF
Javad Azimi,
Xiaoli Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen
Fan, Hong Liu, Jun Jiao, and Rebecca Schaller. (2010). Myopic Policies for
Budgeted Optimization with Constrained Experiments. AAAI Conference on
Artificial Intelligence (AAAI-2010). PDF
Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Bayesian Policy Search for Multi-Agent Role Discovery. AAAI Conference on Artificial Intelligence (AAAI-2010). PDF
Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Incorporating Domain Models into Bayesian Optimization for Reinforcement Learning. to appear in European Conference on Machine Learning (ECML-2010). PDF
Yuehua Xu, Alan Fern, and Sungwook Yoon. (2010). Iterative Learning of Weighted Rule Sets for Greedy Search. International Conference on Automated Planning and Scheduling (ICAPS-2010). PDF
Alan Fern and Prasad Tadepalli. (2010). A Computational
Decision Theory for Interactive Assistants. AAAI Workshop on Interactive
Decision Theory and Game Theory. PDF
Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Bayesian Role Discovery for Multi-Agent Reinforcement Learning (extended abstract). International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010). PDF
Omar Alselah, Bechir Hamdaoui, and Alan Fern. (2010). Q-Learning for Opportunistic Spectrum Access. International Wireless Communications & Mobile Computing Conference (IWCMC-2010)
2009
Ronald Bjarnason, Alan Fern, and Prasad Tadepalli.
(2009). Lower Bounding Klondike Solitaire with Monte-Carlo Planning. International
Conference on Automated Planning and Scheduling (ICAPS-2009). PDF
Yuehua Xu, Alan Fern, and Sungwook
Yoon. (2009). Learning Linear Ranking Functions for Beam Search with
Application to Planning. Journal of Machine Learning Research (JMLR),10,
1349-1388. PDF
Radha-Krishna Balla and Alan Fern.
(2009). UCT for Tactical Assault Planning in Real-Time Strategy Games. International
Joint Conference on Artificial Intelligence (IJCAI-2009). PDF
Robin Hess and Alan Fern. (2009). Discriminatively
Trained Particle Filters for Complex Multi-Object Tracking. IEEE Conference
on Computer Vision and Pattern Recognition (CVPR-2009). PDF
Ronald Bjarnason, Prasad Tadepalli, and Alan Fern. (2009). Simulation-Based Optimization of Resource Placement and Emergency Response. Innovative Applications of Artificial Intelligence (IAAI-2009). PDF
Alan Fern. (2009). A Penalty-Logic Simple-Transition Model for Structured Sequences. Computational Intelligence, 25 (4), pp. 302—334. PDF
Sriraam Natarajan, Prasad Tadepalli, Thomas Dietterich, and Alan Fern. (2009). Learning First-Order Probabilistic Models with Combining Rules. Annals of Mathematics and Artificial Intelligence, 54(1—3), pp. 223-256. PDF
Yuehua Xu, Alna Fern, and Sungwook Yoon. (2009). Learning Weighted Rule Sets for Forward Search Planning. Workshop on Planning and Learning at ICAPS-2009. PDF
Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern. (2009). On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks. Wireless Personal Communications an International Journal, 53(1), pp. 53-66. PDF
Kshitij Judah, Thomas Dietterich, Alan Fern, Jed Irvine, Michael Slater, Prasad Tadepalli, Melinda Gervasio, Christopher Ellwood, Bill Jarrold, Oliver Brdiczka, and Jim Blythe. (2009). User Initiated Learning for Adaptive Interfaces. IJCAI-09 Workshop on Intelligence and Interaction. PDF
2008
Sungwook Yoon, Alan Fern, Robert
Givan, and Subbarao Kambhampati.
(2008). Probabilistic Planning via Determinization
in Hindsight. AAAI Conference on Artificial Intelligence (AAAI-2008).
PDF
Scott Dejmal, Alan Fern, and Thinh Nguyen. (2008). Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks. Innovative Applications of Artificial Intelligence (IAAI-2008). PDF
Sungwook Yoon, Alan Fern, and Robert Givan. (2008). Learning Control Knowledge for Forward Search Planning. Journal of Machine Learning Research (JMLR), 9, 683-718. PDF
Monchai Lertsutthiwong,
Thinh Nguyen, and Alan Fern. (2008). Scalable Video Streaming for Single-Hop
Wireless Networks using a Contention-Based Access MAC Protocol. Advances
in Multimedia, 2, pp. 1—21. PDF
Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, and Alan
Fern. (2008). Transfer in Variable-Reward Hierachical
Reinforcement Learning. Machine Learning Journal (MLJ), 73(3), pp.
289-312. HTML
or PDF (draft)
Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli. (2008). Learning and Transferring Roles in Multi-Agent Reinforcement Learning. AAAI-08 Workshop on Transfer Learning for Complex Tasks. PDF
2007
Robin Hess, Alan Fern, Eric Mortenson. (2007). Mixture-of-Parts
Pictorial Structures for Objects with Variable Part Sets. IEEE
International Conference on Computer Vision (ICCV-2007). PDF
Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, and Chris Ventura. (2007). Online Planning for Resource Production in Real-Time Strategy Games. International Conference on Automated Planning and Scheduling (ICAPS-2007). PDF
Sungwook Yoon, Alan Fern, and
Robert Givan. (2007). FF-Replan: A Baseline for
Probabilistic Planning. International Conference on Automated Planning
and Scheduling (ICAPS-2007). PDF
Yuehua Xu and Alan Fern. (2007). On Learning Linear
Ranking Functions for Beam Search. International Conference on Machine
Learning (ICML-2007). PDF
Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli. (2007). Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach. International Conference on Machine Learning (ICML-2007). PDF
Charles Parker, Alan Fern, and Prasad Tadepalli. (2007). Learning
for Efficient Retrieval of Structured Data with Noisy Queries. International
Conference on Machine Learning (ICML-2007). PDF
Robin Hess and Alan Fern. (2007). Toward Learning Mixture-of-Parts Pictorial Structures. ICML-2007 Workshop on Constrained Optimization and Structured Output Spaces. PDF
Sriraam Natarajan, Prasad Tadepalli, and Alan Fern. (2007). A Relational Hierarchical Model for Decision-Theoretic Assistance. International Conference on Inductive Logic Programming (ILP-2007). PDF
Robin Hess and Alan Fern. (2007). Improved Video Registration using Non-Distinctive Local Image Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2007). PDF
Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern. (2007). Wireless Video Streaming with Collaborative Admission Control for Home Networks. International Conference on Multimedia and Expo (ICME-2007). PDF
Yuehua Xu, Alan Fern, and SungWook Yoon. (2007). Discriminative Learning of Beam-Search Heuristics for Planning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF
Guohua Hao and Alan Fern. (2007). Revisiting Output Coding for Sequential Supervised Learning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF
Alan Fern, Sriraam Natarajan, Kshitij Judah, and Prasad Tadepalli. (2007). A Decision-Theoretic Model of Assistance. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF
SungWook Yoon, Alan Fern, and Robert Givan. (2007). Using Learned Policies in Heuristic-Search Planning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF
Alan Fern, Sungwook Yoon, and Robert Givan. (2007). Reinforcement Learning in Relational Domains: A Policy-Language Approach (draft). In Lise Getoor and Ben Taskar, eds. Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA. PDF
Alan Fern. (2007). Speedup Learning. In Claude Sammut, ed. Encyclopedia of Machine Learning. Springer-Verlag, New York, NY. PDF
Ronald Bjarnason, Prasad
Tadepalli, and Alan Fern. (2007). Searching Solitaire in Real Time. International
Computer Games Association Journal, 30(3), pp. 131-142. PDF
2006
Charlie Parker, Alan Fern, and Prasad Tadepalli. (2006). Gradient Boosting for Sequence Alignment. National Conference on Artificial Intelligence (AAAI-2006). PDF
Sungwook Yoon, Alan Fern, and Robert Givan. (2006). Learning Heuristic Functions from Relaxed Plans. International Conference on Automated Planning and Scheduling (ICAPS-2006). PS
Alan Fern and Robert Givan. (2006). Sequential Inference with Reliable Observations: Learning to Construct Force-Dynamic Models. Artificial Intelligence, 170 (14-15), 1081-1122. PS
Alan Fern, Robert Givan, Babak Falsafi, and T. N. Vijaykumar. (2006). Dynamic Feature Selection for Hardware Prediction. Journal of Systems Architecture, 52, 4, 213-234. PDF
Alan Fern, Sungwook Yoon, and Robert Givan. (2006). Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. Journal of Artificial Intelligence Research (JAIR), 25, 85-118. PDF
2005
Alan Fern. (2005). A Simple-Transition Model for Relational Sequences. International Joint Conference on Artificial Intelligence (IJCAI-2005). PDF
SungWook Yoon, Alan Fern, Robert Givan. (2005). Learning Measures of Progress for Planning Domains. National Conference on Artificial Intelligence (AAAI-2005). postscript
Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo Restificar. (2005). Learning First-Order Probabilistic Models with Combining Rules. International Conference on Machine Learning (ICML-2005). PDF
2004
Alan Fern. (2004). Learning Models and Formulas of a Temporal Event Logic. Purdue University Ph.D. Thesis. compressed postscript
Alan Fern and Robert Givan. (2004). Relational Sequential Inference with Reliable Observations. International Conference on Machine Learning (ICML-2004). postscript
Alan Fern, SungWook Yoon, and Robert Givan. (2004). Learning Domain-Specific Control Knowledge from Random Walks. International Conference on Automated Planning and Scheduling (ICAPS-2004). PDF
2003
Alan Fern, SungWook Yoon, and Robert Givan. (2003). Approximate Policy Iteration with a Policy Language Bias. Advances in Neural Information Processing Systems 16 (NIPS-2003). postscript
Alan Fern and Robert Givan. (2003). Online Ensemble Learning: An Empirical Study. Machine Learning Journal (MLJ), 53(1/2), pp. 71-109. PDF
2002
Alan Fern, Robert Givan, and Jeffrey Mark Siskind. (2002). Specific-to-General Learning for Temporal Events with Application to Video Event Recognition. Journal of Artificial Intelligence Research (JAIR), 17, 379-449. online journal
SungWook Yoon, Alan Fern, and Robert Givan. (2002). Inductive Policy Selection for First-Order Markov Decision Processes. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI-2002). PDF
Alan Fern, Robert Givan, and Jeffrey Mark Siskind. (2002). Specific-to-General Learning for Temporal Events. Eighteenth National Conference on Artificial Intelligence (AAAI-2002). PDF
Alan Fern, Jeffrey Mark Siskind, and Robert Givan. (2002). Learning Temporal, Relational, Force-Dynamic Event Definitions from Video. Eighteenth National Conference on Artificial Intelligence (AAAI-2002). PDF
2000
Alan Fern and Robert Givan. (2000). Online Ensemble Learning: An Empirical Study. International Conference on Machine Learning (ICML-2000). postscript
1998
Alan Fern, Mohamad Musavi, and Jon Miranda. (1998). Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach. IEEE Transactions on Geoscience and Remote Sensing, 36(3).
1997
Alan Fern, Mohamad Musavi, and Jon Miranda. (1997). Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach. International Conference on Neural Networks (ICNN-1997).
Alan Fern, Jon Miranda, Mohamad Musavi, and Dan Coughlin. (1997). Pulp Digester Level Prediction Using Multiresolution Networks of Locally Active Units. International Conference on Neural Networks (ICNN-1997).
1995
Seth Wolpert, Andrew Laffely, and Alan Fern. (1995). A VLSI Circuit for Recreating Living Nerve Networks. Twenty-First IEEE Northeast Bioengineering Conference.