Prasad Tadepalli

Aaron Wilson, Alan Fern, Prasad Tadepalli: Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. Journal of Machine Learning Research - Proceedings Track 27: 217-227 (2012)

Sriraam Natarajan, Prasad Tadepalli, Alan Fern: A relational hierarchical model for decision-theoretic assistance. Knowl. Inf. Syst. 32(2): 329-349 (2012)

Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song: An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM TIST 3(4): 75 (2012)

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)

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)

Alan Fern, Roni Khardon, Prasad Tadepalli: The first learning track of the international planning competition. Machine Learning 84(1-2): 81-107 (2011)

Charles Parker, Yasemin Altun, Prasad Tadepalli: Guest editorial: special issue on structured prediction. Machine Learning 77(2-3): 161-164 (2009)

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)

Prasad Tadepalli: Learning to Solve Problems from Exercises. Computational Intelligence 24(4): 257-291 (2008)

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)

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)

Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern: Transfer in variable-reward hierarchical reinforcement learning. Machine Learning 73(3): 289-312 (2008)

Ronald Bjarnason, Prasad Tadepalli, Alan Fern: Searching Solitaire in Real Time. ICGA Journal 30(3): 131-142 (2007)

Thomas R. Amoth, Paul Cull, Prasad Tadepalli: On Exact Learning of Unordered Tree Patterns. Machine Learning 44(3): 211-243 (2001)

Chandra Reddy, Prasad Tadepalli: Learning Horn Definitions: Theory and an Application to Planning. New Generation Comput. 17(1): 77-98 (1999)

Prasad Tadepalli, DoKyeong Ok: Model-Based Average Reward Reinforcement Learning. Artif. Intell. 100(1-2): 177-223 (1998)

Prasad Tadepalli, Stuart J. Russell: Learning from Examples and Membership Queries with Structured Determinations. Machine Learning 32(3): 245-295 (1998)

Prasad Tadepalli, Balas K. Natarajan: A Formal Framework for Speedup Learning from Problems and Solutions. J. Artif. Intell. Res. (JAIR) 4: 445-475 (1996)

Sridhar Mahadevan, Prasad Tadepalli: Quantifying Prior Determination Knowledge Using the PAC Learning Model. Machine Learning 17(1): 69-105 (1994)

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)

Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli: Maximizing the Predictive Value of Production Rules. Artif. Intell. 45(1-2): 47-71 (1990)