Prasad Tadepalli

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Prasad Tadepalli [ Edit ]
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Name: Prasad Tadepalli
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Publication

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  1. [TW-2009-10] Xiaoqin (Shelley) Zhangy, Sungwook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek Greenyy, Jinhong K. Guo, Ugur Kuter, Geoff Levine, Reid L. MacTavish, Daniel McFarlane, James R Michaelis, Hala Mostafa, Santiago Ontanon, Charles Parker, Jainarayan Radhakrishnan, Anton Rebgunsyy, Bhavesh Shresthay, Zhexuan Song, Ethan B. Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor Lesser, Deborah L. McGuinness, Ashwin Ram, Diana Spearsyy, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth Whitebread. An Ensemble Learning and Problem Solving Architecture for Airspace Management, In IAAI'2009, 2009 .
  2. Hendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli. Guest editors' introduction: special issue on inductive logic programming (ILP-2007), In Machine Learning, 73(1):1-2, 2008 .
  3. Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern. Transfer in variable-reward hierarchical reinforcement learning, In Machine Learning, 73(3):289-312, 2008 .
  4. Sriraam Natarajan, Hung H. Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong. Logical Hierarchical Hidden Markov Models for Modeling User Activities, In ILP, pp. 192-209, 2008 .
  5. Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli. Structured machine learning: the next ten years, In Machine Learning, 73(1):3-23, 2008 .
  6. Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich. Automatic discovery and transfer of MAXQ hierarchies, In ICML, pp. 648-655, 2008 .
  7. Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern. A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems, In Interaction Challenges for Intelligent Assistants, pp. 90-97, 2007 .
  8. Charles Parker, Alan Fern, Prasad Tadepalli. Learning for efficient retrieval of structured data with noisy queries, In ICML, pp. 729-736, 2007 .
  9. Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli. A Decision-Theoretic Model of Assistance, In IJCAI, pp. 1879-1884, 2007 (Download) .
  10. Sriraam Natarajan, Prasad Tadepalli, Alan Fern. Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies, In Probabilistic, Logical and Relational Learning - A Further Synthesis, , 2007 .
  11. Sriraam Natarajan, Prasad Tadepalli, Alan Fern. A Relational Hierarchical Model for Decision-Theoretic Assistance, In ILP, pp. 175-190, 2007 .
  12. Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli. Multi-task reinforcement learning: a hierarchical Bayesian approach, In ICML, pp. 1015-1022, 2007 .
  13. Charles Parker, Alan Fern, Prasad Tadepalli. Gradient Boosting for Sequence Alignment, In AAAI, , 2006 (Download) .
  14. Scott Proper, Prasad Tadepalli. Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery, In ECML, pp. 735-742, 2006 .
  15. Sriraam Natarajan, Prasad Tadepalli. Dynamic preferences in multi-criteria reinforcement learning, In ICML, pp. 601-608, 2005 .
  16. Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar. Learning first-order probabilistic models with combining rules, In ICML, pp. 609-616, 2005 .
  17. Sandeep Seri, Prasad Tadepalli. Model-based Hierarchical Average-reward Reinforcement Learning, In ICML, pp. 562-569, 2002 .
  18. Michael Chisholm, Prasad Tadepalli. Learning Decision Rules by Randomized Iterative Local Search, In ICML, pp. 75-82, 2002 .
  19. Thomas R. Amoth, Paul Cull, Prasad Tadepalli. On Exact Learning of Unordered Tree Patterns, In Machine Learning, 44(3):211-243, 2001 .
  20. Thomas R. Amoth, Paul Cull, Prasad Tadepalli. Exact Learning of Unordered Tree Patterns from Queries, In COLT, pp. 323-332, 1999 .
  21. Chandra Reddy, Prasad Tadepalli. Learning Horn Definitions: Theory and an Application to Planning, In New Generation Comput., 17(1):77-98, 1999 .
  22. Prasad Tadepalli, Stuart J. Russell. Learning from Examples and Membership Queries with Structured Determinations, In Machine Learning, 32(3):245-295, 1998 .
  23. Thomas R. Amoth, Paul Cull, Prasad Tadepalli. Exact Learning of Tree Patterns from Queries and Counterexamples, In COLT, pp. 175-186, 1998 .
  24. Chandra Reddy, Prasad Tadepalli. Learning First-Order Acyclic Horn Programs from Entailment, In ICML, pp. 472-480, 1998 .
  25. Prasad Tadepalli, DoKyeong Ok. Model-Based Average Reward Reinforcement Learning, In Artif. Intell., 100(1-2):177-223, 1998 .
  26. Chandra Reddy, Prasad Tadepalli. Learning Goal-Decomposition Rules Using Exercises, In AAAI/IAAI, pp. 843, 1997 (Download) .
  27. Prasad Tadepalli, Thomas G. Dietterich. Hierarchical Explanation-Based Reinforcement Learning, In ICML, pp. 358-366, 1997 .
  28. Ray Liere, Prasad Tadepalli. Active Learning with Committees for Text Categorization, In AAAI/IAAI, pp. 591-596, 1997 (Download) .
  29. Chandra Reddy, Prasad Tadepalli. Learning Horn Definitions with Equivalence and Membership Queries, In ILP, pp. 243-255, 1997 .
  30. Chandra Reddy, Prasad Tadepalli. Learning Goal-Decomposition Rules using Exercises, In ICML, pp. 278-286, 1997 .
  31. Ray Liere, Prasad Tadepalli. Active Learning with Committees, In AAAI/IAAI, pp. 838, 1997 (Download) .
  32. Prasad Tadepalli, DoKyeong Ok. Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function, In ICML, pp. 471-479, 1996 .
  33. DoKyeong Ok, Prasad Tadepalli. Auto-Exploratory Average Reward Reinforcement Learning, In AAAI/IAAI, Vol. 1, pp. 881-887, 1996 (Download) .
  34. Prasad Tadepalli, Balas K. Natarajan. A Formal Framework for Speedup Learning from Problems and Solutions, In CoRR, cs.AI/9605105, 1996 .
  35. Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo. Theory-guided Empirical Speedup Learning of Goal Decomposition Rules, In ICML, pp. 409-417, 1996 .
  36. Sridhar Mahadevan, Prasad Tadepalli. Quantifying Prior Determination Knowledge Using the PAC Learning Model, In Machine Learning, 17(1):69-105, 1994 .
  37. Prasad Tadepalli. Learning from Queries and Examples with Tree-structured Bias, In ICML, pp. 322-329, 1993 .
  38. Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli. An Apprentice-Based Approach to Knowledge Acquisition, In Artif. Intell., 64(1):1-52, 1993 .
  39. Prasad Tadepalli. A Theory of Unsupervised Speedup Learning, In AAAI, pp. 229-234, 1992 (Download) .
  40. Prasad Tadepalli. Learning with Incrutable Theories, In ML, pp. 544-548, 1991 .
  41. Prasad Tadepalli. A Formalization of Explanation-Based Macro-operator Learning, In IJCAI, pp. 616-622, 1991 (Download) .
  42. Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli. Maximizing the Predictive Value of Production Rules, In Artif. Intell., 45(1-2):47-71, 1990 .
  43. Prasad Tadepalli. Planning Approximate Plans for Use in the Real World, In ML, pp. 224-228, 1989 .
  44. Prasad Tadepalli. Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem, In IJCAI, pp. 694-700, 1989 (Download) .
  45. Sridhar Mahadevan, Prasad Tadepalli. On the Tractability of Learning from Incomplete Theories, In ML, pp. 235-241, 1988 .
  46. Balas K. Natarajan, Prasad Tadepalli. Two New Frameworks for Learning, In ML, pp. 402-415, 1988 .
  47. Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli. Optimizing the Predictive Value of Diagnostic Decision Rules, In AAAI, pp. 521-527, 1987 (Download) .

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