Prasad Tadepalli

From Tetherless World Wiki

Jump to: navigation, search
Prasad Tadepalli [ Edit ]
Photo:
Name: Prasad Tadepalli
Occupation:
Affiliation(s):
Homepage(s):
Email(s):
Phone:
Fax:
Interests:
Other tags:
Alias:
Please also add"{{alias}}" to your alias pages.


Publication

Update publication from DBLP

  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. 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 .
  3. 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 .
  4. 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 .
  5. Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich. Automatic discovery and transfer of MAXQ hierarchies, In ICML, pp. 648-655, 2008 .
  6. Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern. Transfer in variable-reward hierarchical reinforcement learning, In Machine Learning, 73(3):289-312, 2008 .
  7. 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 .
  8. Sriraam Natarajan, Prasad Tadepalli, Alan Fern. A Relational Hierarchical Model for Decision-Theoretic Assistance, In ILP, pp. 175-190, 2007 .
  9. Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli. Multi-task reinforcement learning: a hierarchical Bayesian approach, In ICML, pp. 1015-1022, 2007 .
  10. Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli. A Decision-Theoretic Model of Assistance, In IJCAI, pp. 1879-1884, 2007 (Download) .
  11. 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 .
  12. Charles Parker, Alan Fern, Prasad Tadepalli. Learning for efficient retrieval of structured data with noisy queries, In ICML, pp. 729-736, 2007 .
  13. Scott Proper, Prasad Tadepalli. Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery, In ECML, pp. 735-742, 2006 .
  14. Charles Parker, Alan Fern, Prasad Tadepalli. Gradient Boosting for Sequence Alignment, In AAAI, , 2006 (Download) .
  15. 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 .
  16. Sriraam Natarajan, Prasad Tadepalli. Dynamic preferences in multi-criteria reinforcement learning, In ICML, pp. 601-608, 2005 .
  17. Michael Chisholm, Prasad Tadepalli. Learning Decision Rules by Randomized Iterative Local Search, In ICML, pp. 75-82, 2002 .
  18. Sandeep Seri, Prasad Tadepalli. Model-based Hierarchical Average-reward Reinforcement Learning, In ICML, pp. 562-569, 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. Thomas R. Amoth, Paul Cull, Prasad Tadepalli. Exact Learning of Tree Patterns from Queries and Counterexamples, In COLT, pp. 175-186, 1998 .
  23. Chandra Reddy, Prasad Tadepalli. Learning First-Order Acyclic Horn Programs from Entailment, In ICML, pp. 472-480, 1998 .
  24. Prasad Tadepalli, DoKyeong Ok. Model-Based Average Reward Reinforcement Learning, In Artif. Intell., 100(1-2):177-223, 1998 .
  25. Prasad Tadepalli, Stuart J. Russell. Learning from Examples and Membership Queries with Structured Determinations, In Machine Learning, 32(3):245-295, 1998 .
  26. Chandra Reddy, Prasad Tadepalli. Learning Goal-Decomposition Rules Using Exercises, In AAAI/IAAI, pp. 843, 1997 (Download) .
  27. Chandra Reddy, Prasad Tadepalli. Learning Goal-Decomposition Rules using Exercises, In ICML, pp. 278-286, 1997 .
  28. Ray Liere, Prasad Tadepalli. Active Learning with Committees for Text Categorization, In AAAI/IAAI, pp. 591-596, 1997 (Download) .
  29. Prasad Tadepalli, Thomas G. Dietterich. Hierarchical Explanation-Based Reinforcement Learning, In ICML, pp. 358-366, 1997 .
  30. Chandra Reddy, Prasad Tadepalli. Learning Horn Definitions with Equivalence and Membership Queries, In ILP, pp. 243-255, 1997 .
  31. Ray Liere, Prasad Tadepalli. Active Learning with Committees, In AAAI/IAAI, pp. 838, 1997 (Download) .
  32. Prasad Tadepalli, Balas K. Natarajan. A Formal Framework for Speedup Learning from Problems and Solutions, In CoRR, cs.AI/9605105, 1996 .
  33. Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo. Theory-guided Empirical Speedup Learning of Goal Decomposition Rules, In ICML, pp. 409-417, 1996 .
  34. DoKyeong Ok, Prasad Tadepalli. Auto-Exploratory Average Reward Reinforcement Learning, In AAAI/IAAI, Vol. 1, pp. 881-887, 1996 (Download) .
  35. 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 .
  36. Sridhar Mahadevan, Prasad Tadepalli. Quantifying Prior Determination Knowledge Using the PAC Learning Model, In Machine Learning, 17(1):69-105, 1994 .
  37. 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 .
  38. Prasad Tadepalli. Learning from Queries and Examples with Tree-structured Bias, In ICML, pp. 322-329, 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. Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem, In IJCAI, pp. 694-700, 1989 (Download) .
  44. Prasad Tadepalli. Planning Approximate Plans for Use in the Real World, In ML, pp. 224-228, 1989 .
  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) .

External Links

More information on Google, and DBLP

Facts about Prasad TadepalliRDF feed
Foaf:depiction Anonymous.png  +
Foaf:firstName Prasad  +
Foaf:name Prasad Tadepalli  +
Foaf:surname Tadepalli  +
Has identifier Prasad Tadepalli  +
Retrieved from "http://tw.rpi.edu/wiki/Prasad_Tadepalli"
Personal tools