Prasad Tadepalli
Affiliations: | Oregon State University, Corvallis, OR |
Area:
Computer Science, StatisticsGoogle:
"Prasad Tadepalli"Parents
Sign in to add mentor| Tom Michael Mitchell | grad student | 1990 | Rutgers, New Brunswick (Neurotree) |
Children
Sign in to add trainee| Ray Liere | grad student | 2000 | Oregon State |
| Sriraam Natarajan | grad student | 2007 | Oregon State (Computer Science Tree) |
| Ronald V. Bjarnason | grad student | 2009 | Oregon State |
| Scott Proper | grad student | 2010 | Oregon State |
| Neville Mehta | grad student | 2011 | Oregon State |
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Publications
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| Fern A, Natarajan S, Judah K, et al. (2014) A decision-theoretic model of assistance Journal of Artificial Intelligence Research. 50: 71-104 |
| Doppa JR, Fern A, Tadepalli P. (2014) HC-search: a learning framework for search-based structured prediction Journal of Artificial Intelligence Research. 50: 369-407 |
| Zhang XS, Shrestha B, Yoon S, et al. (2012) An ensemble architecture for learning complex problem-solving techniques from demonstration Acm Transactions On Intelligent Systems and Technology. 3 |
| Natarajan S, Tadepalli P, Fern A. (2012) A relational hierarchical model for decision-theoretic assistance Knowledge and Information Systems. 32: 329-349 |
| Mehta N, Ray S, Tadepalli P, et al. (2011) Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning Ai Magazine. 32: 35 |
| Fern A, Khardon R, Tadepalli P. (2011) The first learning track of the international planning competition Machine Learning. 84: 81-107 |
| Dietterich TG, Domingos P, Getoor L, et al. (2008) Structured machine learning: The next ten years Machine Learning. 73: 3-23 |
| Blockeel H, Shavlik J, Tadepalli P. (2008) Guest editors’ introduction: special issue on inductive logic programming (ILP-2007) Machine Learning. 73: 1-2 |
| Mehta N, Natarajan S, Tadepalli P, et al. (2008) Transfer in variable-reward hierarchical reinforcement learning Machine Learning. 73: 289-312 |
| Natarajan S, Tadepalli P, Dietterich TG, et al. (2008) Learning first-order probabilistic models with combining rules Annals of Mathematics and Artificial Intelligence. 54: 223-256 |