Prasad Tadepalli

	2011
73		Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI 2011: 1414-1420
72		Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. AI Magazine 32(1): 35-50 (2011)
71		Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, Walker Orr, Thomas G. Dietterich, Xiaoli Fern, Prasad Tadepalli, Jed Irvine: Learning Rules from Incomplete Examples via Implicit Mention Models. Journal of Machine Learning Research - Proceedings Track 20: 197-212 (2011)
70		Alan Fern, Roni Khardon, Prasad Tadepalli: The first learning track of the international planning competition. Machine Learning 84(1-2): 81-107 (2011)
	2010
69		Aaron Wilson, Alan Fern, Prasad Tadepalli: Bayesian Policy Search for Multi-Agent Role Discovery. AAAI 2010
68		Aaron Wilson, Alan Fern, Prasad Tadepalli: Bayesian role discovery for multi-agent reinforcement learning. AAMAS 2010: 1587-1588
67		Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor: Learning Algorithms for Link Prediction Based on Chance Constraints. ECML/PKDD (1) 2010: 344-360
66		Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) 2010: 434-450
65		Aaron Wilson, Alan Fern, Prasad Tadepalli: Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) 2010: 467-482
64		Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Multi-Agent Inverse Reinforcement Learning. ICMLA 2010: 395-400
63		Alan Fern, Prasad Tadepalli: A Computational Decision Theory for Interactive Assistants. NIPS 2010: 577-585
62		Prasad Tadepalli: Average-Reward Reinforcement Learning. Encyclopedia of Machine Learning 2010: 64-68
61		Soumya Ray, Prasad Tadepalli: Model-Based Reinforcement Learning. Encyclopedia of Machine Learning 2010: 690-693
	2009
60		Scott Proper, Prasad Tadepalli: Solving multiagent assignment Markov decision processes. AAMAS (1) 2009: 681-688
59		Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Anton Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread: An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI 2009
58		Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner: Simulation-based Optimization of Resource Placement and Emergency Response. IAAI 2009
57		Ronald Bjarnason, Alan Fern, Prasad Tadepalli: Lower Bounding Klondike Solitaire with Monte-Carlo Planning. ICAPS 2009
56		Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik: Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ICMLA 2009: 141-146
55		Scott Proper, Prasad Tadepalli: Multiagent Transfer Learning via Assignment-Based Decomposition. ICMLA 2009: 345-350
54		Scott Proper, Prasad Tadepalli: Transfer Learning via Relational Templates. ILP 2009: 186-193
53		Charles Parker, Yasemin Altun, Prasad Tadepalli: Guest editorial: special issue on structured prediction. Machine Learning 77(2-3): 161-164 (2009)
	2008
52		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
51		Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic discovery and transfer of MAXQ hierarchies. ICML 2008: 648-655
50		Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong: Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP 2008: 192-209
49		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)
48		Prasad Tadepalli: Learning to Solve Problems from Exercises. Computational Intelligence 24(4): 257-291 (2008)
47		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)
46		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)
45		Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Transfer in variable-reward hierarchical reinforcement learning. Machine Learning 73(3): 289-312 (2008)
	2007
44		Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli: Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022
43		Charles Parker, Alan Fern, Prasad Tadepalli: Learning for efficient retrieval of structured data with noisy queries. ICML 2007: 729-736
42		Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli: A Decision-Theoretic Model of Assistance. IJCAI 2007: 1879-1884
41		Sriraam Natarajan, Prasad Tadepalli, Alan Fern: A Relational Hierarchical Model for Decision-Theoretic Assistance. ILP 2007: 175-190
40		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
39		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
38		Ronald Bjarnason, Prasad Tadepalli, Alan Fern: Searching Solitaire in Real Time. ICGA Journal 30(3): 131-142 (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	Yasemin Altun	[53]
3	Thomas R. Amoth	[28] [30] [31]
4	Darren Appling	[59]
5	Ronald Bjarnason	[38] [57] [58]
6	Hendrik Blockeel	[47] [52]
7	Hung Hai Bui (Hung H. Bui)	[50]
8	Michael Chisholm	[32]
9	Daniel D. Corkill	[59]
10	Paul Cull	[28] [30] [31]
11	Gerald DeJong	[59]
12	Phillip DiBona	[59]
13	Thomas G. Dietterich	[19] [34] [46] [49] [51] [59] [71] [72]
14	Li Ding	[59]
15	Pedro Domingos	[46]
16	Janardhan Rao Doppa	[59] [67] [71]
17	Alan Fern	[34] [37] [38] [39] [40] [41] [42] [43] [44] [45] [49] [57] [58] [63] [65] [68] [69] [70]
18	Xiaoli Z. Fern (Xiaoli Fern, Xiaoli Zhang Fern)	[71]
19	Robert S. Galen	[1] [6]
20	Lise Getoor	[46] [67]
21	Derek T. Green	[59]
22	Jinhong Guo	[59]
23	James A. Hendler (Jim Hendler)	[59]
24	Martin O. Hofmann	[59]
25	Jed Irvine	[71]
26	Saket Joshi	[73]
27	Kshitij Judah	[40] [42] [64]
28	Subbarao Kambhampati	[59]
29	Kristian Kersting	[50] [64] [66] [73]
30	Roni Khardon	[70]
31	Tushar Khot	[66]
32	Gautam Kunapuli	[56] [64]
33	Ugur Kuter	[59]
34	Victor R. Lesser	[59]
35	Geoffrey Levine	[59]
36	Ray Liere	[22] [23]
37	Daniel Lowd	[66]
38	Reid MacTavish	[59]
39	Sridhar Mahadevan	[3] [10] [12]
40	Daniel McFarlane	[59]
41	Deborah L. McGuinness	[59]
42	Neville Mehta	[45] [51] [72]
43	James Michaelis	[59]
44	Tom M. Mitchell	[10]
45	Hala Mostafa	[59]
46	Jack Mostow	[10]
47	Stephen Muggleton	[46]
48	Mohammad NasrEsfahani	[71]
49	Balas K. Natarajan (B. K. Natarajan)	[2] [13] [14]
50	Sriraam Natarajan	[34] [35] [39] [40] [41] [42] [45] [49] [50] [56] [64] [66] [73]
51	Carl Niedner	[58]
52	DoKyeong Ok	[15] [17] [25]
53	Santiago Ontañón (Santi Ontañón Villar, Santi Ontañón)	[59]
54	Walker Orr	[71]
55	Charles Parker	[37] [43] [53] [59]
56	Scott Proper	[36] [54] [55] [60]
57	Jainarayan Radhakrishnan	[59]
58	Ashwin Ram	[59]
59	Jan Ramon	[52]
60	Soumya Ray	[44] [51] [61] [72]
61	Anton Rebguns	[59]
62	Chandra Reddy	[16] [18] [20] [21] [26] [27] [29]
63	Angelo C. Restificar	[34]
64	Silvana Roncagliolo	[16]
65	Stuart J. Russell	[24]
66	Sandeep Seri	[33]
67	Jude W. Shavlik	[47] [52] [56] [64] [66] [73]
68	Bhavesh Shrestha	[59]
69	Zhexuan Song	[59]
70	Shahed Sorower	[71]
71	Diana F. Spears (Diana F. Gordon-Spears, Diana F. Gordon)	[59]
72	Louis I. Steinberg	[10]
73	Ethan Trewhitt	[59]
74	Sholom M. Weiss	[1] [6]
75	Elizabeth Whitaker	[59]
76	Kenneth R. Whitebread	[59]
77	Aaron Wilson	[44] [65] [68] [69]
78	Weng-Keen Wong	[50] [59]
79	Sung Wook Yoon	[59]
80	Jun Yu	[67]
81	Huzaifa Zafar	[59]
82	Chongjie Zhang	[59]
83	Xiaoqin Zhang (Shelley Zhang)	[59]

Colors in the list of coauthors

Last update Sat Feb 11 22:55:45 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page