OREGON STATE UNIVERSITY

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Biblio

Found 37 results
Filters: Author is Tadepalli, Prasad  [Clear All Filters]
2013
Doppa, J R., A. Fern, and P. Tadepalli, "HC-Search: Learning Heuristics and Cost Functions for Structured Prediction", AAAI Conference on Artificial Intelligence, 06/2013.
Joshi, S., R. Khardon, P. Tadepalli, A. Raghavan, and A. 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), vol. 8188, Prague, Czech Republic, Springer Berlin Heidelberg, pp. 178 - 193, 09/2013.
2012
Wilson, A., A. Fern, and P. Tadepalli, "A Bayesian Approach for Policy Learning from Trajectory Preference Queries", Advances in Neural Information Processing Systems (NIPS-2011) , Lake Tahoe, Nevada, pp. 1142–1150, 12/2012.
Zhang, X S., D S. Appling, E. T. Whitaker, E. B. Trewhitt, L. Ding, J. R. Michaelis, D. L. McGuinness, J. A. Hendler, J R. Doppa, C. Parker, et al., "An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration", ACM Transactions on Intelligent Systems and Technology, vol. 3, issue 4, pp. 1 - 38, 09/2012.
Doppa, J R., A. Fern, and P. Tadepalli, "Output Space Search for Structured Prediction", 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, 06/2012.
Raghavan, A., S. Joshi, A. Fern, P. Tadepalli, and R. Khardon, "Planning in Factored Action Spaces with Symbolic Dynamic Programming", Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2012), Toronto, Ontario, Canada, 07/2012.
Natarajan, S., P. Tadepalli, and A. Fern, "A relational hierarchical model for decision-theoretic assistance", Knowledge and Information Systems, vol. 32, no. 2: Springer-Verlag, pp. 329-349, 08/2012.
Wilson, A., A. Fern, and P. Tadepalli, "Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach", Journal of Machine Learning Research - Proceedings Track, vol. 27, pp. 217-227, 2012.
2011
Mehta, N., S. Ray, P. Tadepalli, and T. G. Dietterich, "Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning", AI Magazine, vol. 32, issue 1, 2011.
Mehta, N., P. Tadepalli, and A. Fern, "Autonomous Learning of Action Models for Planning", Advances in Neural Information Processing Systems (NIPS-2011), Granada, Spain, pp. 2465-2473, 12/2011.
Fern, A., R. Khardon, and P. Tadepalli, "The first learning track of the international planning competition", Machine Learning, vol. 84, issue 1-2, pp. 81 - 107, 07/2011.
Sorower, S., T. G. Dietterich, J R. Doppa, W. Orr, P. Tadepalli, and X. Z. Fern, "Inverting Grice's Maxims to Learn Rules from Natural Language Extractions", 2011 Conference on Neural Information Processing Systems (NIPS-2011), Granada, Spain, pp. 1053-1061, 12/2011.
Sorower, M S., T. G. Dietterich, J R. Doppa, P. Tadepalli, and X. Z. Fern, "Learning Rules from Incomplete Examples via a Probabilistic Mention Model", IJCAI 2011 Workshop on Learning by Reading and its Applications in Intelligent Question-Answering, Barcelona, Catalonia, Spain, 07/2011.
Doppa, J R., M. NasrEsfahani, M S. Sorower, J. Irvine, T. G. Dietterich, X. Z. Fern, and P. Tadepalli, "Learning Rules from Incomplete Examples via Observation Models", IJCAI 2011 Workshop on Learning by Reading and its Applications in Intelligent Question-Answering, Barcelona, Catalonia, Spain, 07/2011.
2010
Wilson, A., A. Fern, and P. Tadepalli, "Bayesian role discovery for multi-agent reinforcement learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS-10), Toronto, Canada, pp. 1587-1588, 05/2010.
Fern, A., and P. Tadepalli, "A Computational Decision Theory for Interactive Assistants", Advances in Neural Information Processing Systems (NIPS-2010), Vancouver, B.C., Canada, pp. 577–585, 12/2010.
Wilson, A., A. Fern, and P. Tadepalli, "Incorporating Domain Models into Bayesian Optimization for RL", European Conference on Machine Learning (ECML-10), Barcelona, Spain, pp. 467-482, 09/2010.
2009
Zhang, X., S. Yoon, P. DiBona, D S. Appling, L. Ding, J R. Doppa, D. Green, J. K. Guo, U. Kuter, G. Levine, et al., "An Ensemble Learning and Problem-Solving Architecture for Airspace Management", Proceedings of Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-09), Pasadena, CA, pp. 203-210, 07/2009.
Bjarnason, R., A. Fern, and P. Tadepalli, "Lower Bounding Klondike Solitaire with Monte-Carlo Planning", International Conference on Automated Planning and Scheduling (ICAPS-2009), Thessaloniki, Greece, 09/2009.
Best Student Paper of ICAPS (International Conference on Automated Planning and Scheduling)
Bjarnason, R., P. Tadepalli, A. Fern, and C. Niedner, "Simulation-based Optimization of Resource Placement and Emergency Response", Conference on Innovative Applications of Artificial Intelligence (IAAI-2009), Pasadena, California, pp. 47-53, 07/2009.
Dietterich, T. G., A. Fern, J. Irvine, M. Slater, P. Tadepalli, M. Gervasio, C. Ellwood, B. Jarrold, O. Brdiczka, and J. Blythe, "User Initiated Learning for Adaptive Interfaces Abstract", IJCAI2009 Workshop on Intelligence and Interaction, Pasadena, CA, 07/2009.
2008
Mehta, N., S. Ray, P. Tadepalli, and T. G. Dietterich, "Automatic discovery and transfer of MAXQ hierarchies", Proceedings of the 25th International Conference on Machine learning - ICML '08, Helsinki, Finland, ACM Press, pp. 648 - 655, 07/2008.
Natarajan, S., P. Tadepalli, T. G. Dietterich, and A. Fern, "Learning first-order probabilistic models with combining rules", Annals of Mathematics and Artificial Intelligence, vol. 54, issue 1-3, pp. 223 - 256, 11/2008.
Natarajan, S., H. H. Bui, P. Tadepalli, K. Kersting, and W-K. Wong, "Logical Hierarchical Hidden Markov Models for Modeling User Activities", Proceedings of the Eighteenth International Conference on Inductive Logic Programming, vol. 5194, Prague, Czech Republic, Springer Berlin Heidelberg, pp. 192 - 209, 09/2008.
Dietterich, T. G., P. Domingos, L. Getoor, S. Muggleton, and P. Tadepalli, "Structured machine learning: the next ten years", Machine Learning, vol. 73, issue 1, pp. 3 - 23, 10/2008.

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