Prasad Tadepalli

2008
49		Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers Springer 2008
48	EE	Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic discovery and transfer of MAXQ hierarchies. ICML 2008: 648-655
47	EE	Sriraam Natarajan, Hung H. Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong: Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP 2008: 192-209
46	EE	Hendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli: Guest editors' introduction: special issue on inductive logic programming (ILP-2007). Machine Learning 73(1): 1-2 (2008)
45	EE	Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli: Structured machine learning: the next ten years. Machine Learning 73(1): 3-23 (2008)
44	EE	Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Transfer in variable-reward hierarchical reinforcement learning. Machine Learning 73(3): 289-312 (2008)
2007
43	EE	Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli: Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022
42	EE	Charles Parker, Alan Fern, Prasad Tadepalli: Learning for efficient retrieval of structured data with noisy queries. ICML 2007: 729-736
41	EE	Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli: A Decision-Theoretic Model of Assistance. IJCAI 2007: 1879-1884
40	EE	Sriraam Natarajan, Prasad Tadepalli, Alan Fern: A Relational Hierarchical Model for Decision-Theoretic Assistance. ILP 2007: 175-190
39		Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern: A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. Interaction Challenges for Intelligent Assistants 2007: 90-97
38	EE	Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
2006
37		Charles Parker, Alan Fern, Prasad Tadepalli: Gradient Boosting for Sequence Alignment. AAAI 2006
36	EE	Scott Proper, Prasad Tadepalli: Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery. ECML 2006: 735-742
2005
35	EE	Sriraam Natarajan, Prasad Tadepalli: Dynamic preferences in multi-criteria reinforcement learning. ICML 2005: 601-608
34	EE	Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar: Learning first-order probabilistic models with combining rules. ICML 2005: 609-616
2002
33		Sandeep Seri, Prasad Tadepalli: Model-based Hierarchical Average-reward Reinforcement Learning. ICML 2002: 562-569
32		Michael Chisholm, Prasad Tadepalli: Learning Decision Rules by Randomized Iterative Local Search. ICML 2002: 75-82
2001
31		Thomas R. Amoth, Paul Cull, Prasad Tadepalli: On Exact Learning of Unordered Tree Patterns. Machine Learning 44(3): 211-243 (2001)
1999
30	EE	Thomas R. Amoth, Paul Cull, Prasad Tadepalli: Exact Learning of Unordered Tree Patterns from Queries. COLT 1999: 323-332
29		Chandra Reddy, Prasad Tadepalli: Learning Horn Definitions: Theory and an Application to Planning. New Generation Comput. 17(1): 77-98 (1999)
1998
28	EE	Thomas R. Amoth, Paul Cull, Prasad Tadepalli: Exact Learning of Tree Patterns from Queries and Counterexamples. COLT 1998: 175-186
27		Chandra Reddy, Prasad Tadepalli: Learning First-Order Acyclic Horn Programs from Entailment. ICML 1998: 472-480
26		Chandra Reddy, Prasad Tadepalli: Learning First-Order Acyclic Horn Programs from Entailment. ILP 1998: 23-37
25	EE	Prasad Tadepalli, DoKyeong Ok: Model-Based Average Reward Reinforcement Learning. Artif. Intell. 100(1-2): 177-223 (1998)
24		Prasad Tadepalli, Stuart J. Russell: Learning from Examples and Membership Queries with Structured Determinations. Machine Learning 32(3): 245-295 (1998)
1997
23		Ray Liere, Prasad Tadepalli: Active Learning with Committees for Text Categorization. AAAI/IAAI 1997: 591-596
22		Ray Liere, Prasad Tadepalli: Active Learning with Committees. AAAI/IAAI 1997: 838
21		Chandra Reddy, Prasad Tadepalli: Learning Goal-Decomposition Rules Using Exercises. AAAI/IAAI 1997: 843
20		Chandra Reddy, Prasad Tadepalli: Learning Goal-Decomposition Rules using Exercises. ICML 1997: 278-286
19		Prasad Tadepalli, Thomas G. Dietterich: Hierarchical Explanation-Based Reinforcement Learning. ICML 1997: 358-366
18		Chandra Reddy, Prasad Tadepalli: Learning Horn Definitions with Equivalence and Membership Queries. ILP 1997: 243-255
1996
17		DoKyeong Ok, Prasad Tadepalli: Auto-Exploratory Average Reward Reinforcement Learning. AAAI/IAAI, Vol. 1 1996: 881-887
16		Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo: Theory-guided Empirical Speedup Learning of Goal Decomposition Rules. ICML 1996: 409-417
15		Prasad Tadepalli, DoKyeong Ok: Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function. ICML 1996: 471-479
14	EE	Prasad Tadepalli, Balas K. Natarajan: A Formal Framework for Speedup Learning from Problems and Solutions CoRR cs.AI/9605105: (1996)
13		Prasad Tadepalli, Balas K. Natarajan: A Formal Framework for Speedup Learning from Problems and Solutions. J. Artif. Intell. Res. (JAIR) 4: 445-475 (1996)
1994
12		Sridhar Mahadevan, Prasad Tadepalli: Quantifying Prior Determination Knowledge Using the PAC Learning Model. Machine Learning 17(1): 69-105 (1994)
1993
11		Prasad Tadepalli: Learning from Queries and Examples with Tree-structured Bias. ICML 1993: 322-329
10		Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli: An Apprentice-Based Approach to Knowledge Acquisition. Artif. Intell. 64(1): 1-52 (1993)
1992
9		Prasad Tadepalli: A Theory of Unsupervised Speedup Learning. AAAI 1992: 229-234
1991
8		Prasad Tadepalli: A Formalization of Explanation-Based Macro-operator Learning. IJCAI 1991: 616-622
7		Prasad Tadepalli: Learning with Incrutable Theories. ML 1991: 544-548
1990
6		Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli: Maximizing the Predictive Value of Production Rules. Artif. Intell. 45(1-2): 47-71 (1990)
1989
5		Prasad Tadepalli: Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem. IJCAI 1989: 694-700
4		Prasad Tadepalli: Planning Approximate Plans for Use in the Real World. ML 1989: 224-228
1988
3		Sridhar Mahadevan, Prasad Tadepalli: On the Tractability of Learning from Incomplete Theories. ML 1988: 235-241
2		Balas K. Natarajan, Prasad Tadepalli: Two New Frameworks for Learning. ML 1988: 402-415
1987
1		Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli: Optimizing the Predictive Value of Diagnostic Decision Rules. AAAI 1987: 521-527

Coauthor Index

1	Eric Altendorf	[34]
2	Thomas R. Amoth	[28] [30] [31]
3	Hendrik Blockeel	[46] [49]
4	Hung H. Bui	[47]
5	Michael Chisholm	[32]
6	Paul Cull	[28] [30] [31]
7	Thomas G. Dietterich	[19] [34] [45] [48]
8	Pedro Domingos	[45]
9	Alan Fern	[34] [37] [38] [39] [40] [41] [42] [43] [44]
10	Robert S. Galen	[1] [6]
11	Lise Getoor	[45]
12	Kshitij Judah	[39] [41]
13	Kristian Kersting	[47]
14	Ray Liere	[22] [23]
15	Sridhar Mahadevan	[3] [10] [12]
16	Neville Mehta	[44] [48]
17	Tom M. Mitchell	[10]
18	Jack Mostow	[10]
19	Stephen Muggleton	[45]
20	Balas K. Natarajan (B. K. Natarajan)	[2] [13] [14]
21	Sriraam Natarajan	[34] [35] [38] [39] [40] [41] [44] [47]
22	DoKyeong Ok	[15] [17] [25]
23	Charles Parker	[37] [42]
24	Scott Proper	[36]
25	Jan Ramon	[49]
26	Soumya Ray	[43] [48]
27	Chandra Reddy	[16] [18] [20] [21] [26] [27] [29]
28	Angelo C. Restificar	[34]
29	Silvana Roncagliolo	[16]
30	Stuart J. Russell	[24]
31	Sandeep Seri	[33]
32	Jude W. Shavlik	[46] [49]
33	Louis I. Steinberg	[10]
34	Sholom M. Weiss	[1] [6]
35	Aaron Wilson	[43]
36	Weng-Keen Wong	[47]

Colors in the list of coauthors