Prasad Tadepalli

	2009
52		Scott Proper, Prasad Tadepalli: Solving multiagent assignment Markov decision processes. AAMAS (1) 2009: 681-688
51		Ronald Bjarnason, Alan Fern, Prasad Tadepalli: Lower Bounding Klondike Solitaire with Monte-Carlo Planning. ICAPS 2009
	2008
50		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
49		Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic discovery and transfer of MAXQ hierarchies. ICML 2008: 648-655
48		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
47		Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern: Learning first-order probabilistic models with combining rules. Ann. Math. Artif. Intell. 54(1-3): 223-256 (2008)
46		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		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		Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Transfer in variable-reward hierarchical reinforcement learning. Machine Learning 73(3): 289-312 (2008)
	2007
43		Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli: Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022
42		Charles Parker, Alan Fern, Prasad Tadepalli: Learning for efficient retrieval of structured data with noisy queries. ICML 2007: 729-736
41		Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli: A Decision-Theoretic Model of Assistance. IJCAI 2007: 1879-1884
40		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		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		Scott Proper, Prasad Tadepalli: Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery. ECML 2006: 735-742
	2005
35		Sriraam Natarajan, Prasad Tadepalli: Dynamic preferences in multi-criteria reinforcement learning. ICML 2005: 601-608
34		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		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		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		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		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	Ronald Bjarnason	[51]
4	Hendrik Blockeel	[46] [50]
5	Hung H. Bui	[48]
6	Michael Chisholm	[32]
7	Paul Cull	[28] [30] [31]
8	Thomas G. Dietterich	[19] [34] [45] [47] [49]
9	Pedro Domingos	[45]
10	Alan Fern	[34] [37] [38] [39] [40] [41] [42] [43] [44] [47] [51]
11	Robert S. Galen	[1] [6]
12	Lise Getoor	[45]
13	Kshitij Judah	[39] [41]
14	Kristian Kersting	[48]
15	Ray Liere	[22] [23]
16	Sridhar Mahadevan	[3] [10] [12]
17	Neville Mehta	[44] [49]
18	Tom M. Mitchell	[10]
19	Jack Mostow	[10]
20	Stephen Muggleton	[45]
21	Balas K. Natarajan (B. K. Natarajan)	[2] [13] [14]
22	Sriraam Natarajan	[34] [35] [38] [39] [40] [41] [44] [47] [48]
23	DoKyeong Ok	[15] [17] [25]
24	Charles Parker	[37] [42]
25	Scott Proper	[36] [52]
26	Jan Ramon	[50]
27	Soumya Ray	[43] [49]
28	Chandra Reddy	[16] [18] [20] [21] [26] [27] [29]
29	Angelo C. Restificar	[34]
30	Silvana Roncagliolo	[16]
31	Stuart J. Russell	[24]
32	Sandeep Seri	[33]
33	Jude W. Shavlik	[46] [50]
34	Louis I. Steinberg	[10]
35	Sholom M. Weiss	[1] [6]
36	Aaron Wilson	[43]
37	Weng-Keen Wong	[48]

Colors in the list of coauthors