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Alan Fern
Recent Publications
- 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)
- 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)
- Learning Control Knowledge for Forward Search Planning, Sungwook Yoon, Alan Fern, and Robert Givan, Journal of Machine Learning Research (JMLR), 9, 683-718, 2008
- 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
- Transfer in Variable-Reward Hierachical Reinforcement Learning, Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, and Alan Fern, Machine Learning Journal (MLJ), to appear
- 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
- 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)
- 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)
- FF-Replan: A Baseline for Probabilistic Planning, Sungwook Yoon, Alan Fern, and Robert Givan, International Conference on Automated Planning and Scheduling (ICAPS-2007)
- On Learning Linear Ranking Functions for Beam Search, Yuehua Xu and Alan Fern, International Conference on Machine Learning (ICML-2007)
- Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach, Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli, International Conference on Machine Learning (ICML-2007)
- Learning for Efficient Retrieval of Structured Data with Noisy Queries, Charles Parker, Alan Fern, and Prasad Tadepalli, International Conference on Machine Learning (ICML-2007)
- Toward Learning Mixture-of-Parts Pictorial Structures, Robin Hess and Alan Fern, ICML-2007 Workshop on Constrained Optimization and Structured Output Spaces
- A Relational Hierarchical Model for Decision-Theoretic Assistance, Sriraam Natarajan, Prasad Tadepalli, and Alan Fern, International Conference on Inductive Logic Programming (ILP-2007)
- Improved Video Registration using Non-Distinctive Local Image Features, Robin Hess and Alan Fern, IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2007)
- 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)
- Discriminative Learning of Beam-Search Heuristics for Planning, Yuehua Xu, Alan Fern, and SungWook Yoon, International Joint Conference on Artificial Intelligence (IJCAI-2007)
- Revisiting Output Coding for Sequential Supervised Learning, Guohua Hao and Alan Fern, International Joint Conference on Artificial Intelligence (IJCAI-2007)
- A Decision-Theoretic Model of Assistance, Alan Fern, Sriraam Natarajan, Kshitij Judah, and Prasad Tadepalli, International Joint Conference on Artificial Intelligence (IJCAI-2007)
- Using Learned Policies in Heuristic-Search Planning, SungWook Yoon, Alan Fern, and Robert Givan, International Joint Conference on Artificial Intelligence (IJCAI-2007)
- Searching Solitaire in Real Time, Ronald Bjarnason, Prasad Tadepalli, and Alan Fern, International Computer Games Association Journal, 30 (3), 131-142, 2007
- Reinforcement Learning in Relational Domains: A Policy-Language Approach, Alan Fern, Sungwook Yoon, and Robert Givan, In Lise Getoor and Ben Taskar, eds. Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA.
- Speedup Learning, Alan Fern, In Claude Sammut, ed. Encyclopedia of Machine Learning. Springer-Verlag, New York, NY.
- Gradient Boosting for Sequence Alignment, Charlie Parker, Alan Fern, and Prasad Tadepalli, National Conference on Artificial Intelligence (AAAI-2006)
- 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
- 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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