| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | 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  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Alan Fern, Roni Khardon, Prasad Tadepalli |
The first learning track of the international planning competition.  |
Machine Learning  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning.  |
AI Magazine  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach.  |
IJCAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, Walker Orr, Prasad Tadepalli, Xiaoli Fern |
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions.  |
NIPS  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Neville Mehta, Prasad Tadepalli, Alan Fern |
Autonomous Learning of Action Models for Planning.  |
NIPS  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Average-Reward Reinforcement Learning.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Soumya Ray, Prasad Tadepalli |
Model-Based Reinforcement Learning.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor |
Learning Algorithms for Link Prediction Based on Chance Constraints.  |
ECML/PKDD  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | 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  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Aaron Wilson, Alan Fern, Prasad Tadepalli |
Incorporating Domain Models into Bayesian Optimization for RL.  |
ECML/PKDD  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
Multi-Agent Inverse Reinforcement Learning.  |
ICMLA  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Aaron Wilson, Alan Fern, Prasad Tadepalli |
Bayesian role discovery for multi-agent reinforcement learning.  |
AAMAS  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | 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.  |
Statistical Relational Artificial Intelligence  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Aaron Wilson, Alan Fern, Prasad Tadepalli |
Bayesian Policy Search for Multi-Agent Role Discovery.  |
AAAI  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Alan Fern, Prasad Tadepalli |
A Computational Decision Theory for Interactive Assistants.  |
Interactive Decision Theory and Game Theory  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Alan Fern, Prasad Tadepalli |
A Computational Decision Theory for Interactive Assistants.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Charles Parker, Yasemin Altun, Prasad Tadepalli |
Guest editorial: special issue on structured prediction.  |
Machine Learning  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ronald Bjarnason, Alan Fern, Prasad Tadepalli |
Lower Bounding Klondike Solitaire with Monte-Carlo Planning.  |
ICAPS  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner |
Simulation-based Optimization of Resource Placement and Emergency Response.  |
IAAI  |
2009 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik |
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.  |
ICMLA  |
2009 |
DBLP DOI BibTeX RDF |
Graphical Models, Statistical Relational Learning |
| 1 | Scott Proper, Prasad Tadepalli |
Multiagent Transfer Learning via Assignment-Based Decomposition.  |
ICMLA  |
2009 |
DBLP DOI BibTeX RDF |
coordination, reinforcement learning, markov decision processes, transfer learning, assignment problem |
| 1 | Scott Proper, Prasad Tadepalli |
Solving multiagent assignment Markov decision processes.  |
AAMAS  |
2009 |
DBLP DOI BibTeX RDF |
coordination graphs, reinforcement learning, Markov decision processes, assignment problem |
| 1 | Scott Proper, Prasad Tadepalli |
Transfer Learning via Relational Templates.  |
ILP  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli |
Structured machine learning: the next ten years.  |
Machine Learning  |
2008 |
DBLP DOI BibTeX RDF |
Structured machine learning, Inductive logic programming, Relational learning, Statistical relational learning |
| 1 | Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern |
Transfer in variable-reward hierarchical reinforcement learning.  |
Machine Learning  |
2008 |
DBLP DOI BibTeX RDF |
Average-reward learning, Multi-criteria learning, Transfer learning, Hierarchical reinforcement learning |
| 1 | Hendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli |
Guest editors' introduction: special issue on inductive logic programming (ILP-2007).  |
Machine Learning  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Learning to Solve Problems from Exercises.  |
Computational Intelligence  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern |
Learning first-order probabilistic models with combining rules.  |
Ann. Math. Artif. Intell.  |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classification (2000) 03B48 |
| 1 | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
Automatic discovery and transfer of MAXQ hierarchies.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli (eds.) |
Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers  |
ILP  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong |
Logical Hierarchical Hidden Markov Models for Modeling User Activities.  |
ILP  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ronald Bjarnason, Prasad Tadepalli, Alan Fern |
Searching Solitaire in Real Time.  |
ICGA Journal  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli |
A Decision-Theoretic Model of Assistance.  |
IJCAI  |
2007 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern |
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems.  |
AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Charles Parker, Alan Fern, Prasad Tadepalli |
Learning for efficient retrieval of structured data with noisy queries.  |
ICML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli |
Multi-task reinforcement learning: a hierarchical Bayesian approach.  |
ICML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli, Alan Fern |
A Relational Hierarchical Model for Decision-Theoretic Assistance.  |
ILP  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Scott Proper, Prasad Tadepalli |
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery.  |
ECML  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Charles Parker, Alan Fern, Prasad Tadepalli |
Gradient Boosting for Sequence Alignment.  |
AAAI  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli |
Dynamic preferences in multi-criteria reinforcement learning.  |
ICML  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar |
Learning first-order probabilistic models with combining rules.  |
ICML  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Chisholm, Prasad Tadepalli |
Learning Decision Rules by Randomized Iterative Local Search.  |
ICML  |
2002 |
DBLP BibTeX RDF |
|
| 1 | Sandeep Seri, Prasad Tadepalli |
Model-based Hierarchical Average-reward Reinforcement Learning.  |
ICML  |
2002 |
DBLP BibTeX RDF |
|
| 1 | Thomas R. Amoth, Paul Cull, Prasad Tadepalli |
On Exact Learning of Unordered Tree Patterns.  |
Machine Learning  |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning Horn Definitions: Theory and an Application to Planning.  |
New Generation Comput.  |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas R. Amoth, Paul Cull, Prasad Tadepalli |
Exact Learning of Unordered Tree Patterns from Queries.  |
COLT  |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Prasad Tadepalli, Stuart J. Russell |
Learning from Examples and Membership Queries with Structured Determinations.  |
Machine Learning  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Prasad Tadepalli, DoKyeong Ok |
Model-Based Average Reward Reinforcement Learning.  |
Artif. Intell.  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning First-Order Acyclic Horn Programs from Entailment.  |
ICML  |
1998 |
DBLP BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning First-Order Acyclic Horn Programs from Entailment.  |
ILP  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas R. Amoth, Paul Cull, Prasad Tadepalli |
Exact Learning of Tree Patterns from Queries and Counterexamples.  |
COLT  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning Goal-Decomposition Rules using Exercises.  |
ICML  |
1997 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli, Thomas G. Dietterich |
Hierarchical Explanation-Based Reinforcement Learning.  |
ICML  |
1997 |
DBLP BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning Horn Definitions with Equivalence and Membership Queries.  |
ILP  |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli |
Learning Goal-Decomposition Rules Using Exercises.  |
AAAI/IAAI  |
1997 |
DBLP BibTeX RDF |
|
| 1 | Ray Liere, Prasad Tadepalli |
Active Learning with Committees for Text Categorization.  |
AAAI/IAAI  |
1997 |
DBLP BibTeX RDF |
|
| 1 | Ray Liere, Prasad Tadepalli |
Active Learning with Committees.  |
AAAI/IAAI  |
1997 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli, Balas K. Natarajan |
A Formal Framework for Speedup Learning from Problems and Solutions  |
CoRR  |
1996 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli, Balas K. Natarajan |
A Formal Framework for Speedup Learning from Problems and Solutions.  |
J. Artif. Intell. Res. (JAIR)  |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo |
Theory-guided Empirical Speedup Learning of Goal Decomposition Rules.  |
ICML  |
1996 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli, DoKyeong Ok |
Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function.  |
ICML  |
1996 |
DBLP BibTeX RDF |
|
| 1 | DoKyeong Ok, Prasad Tadepalli |
Auto-Exploratory Average Reward Reinforcement Learning.  |
AAAI/IAAI, Vol. 1  |
1996 |
DBLP BibTeX RDF |
|
| 1 | Sridhar Mahadevan, Prasad Tadepalli |
Quantifying Prior Determination Knowledge Using the PAC Learning Model.  |
Machine Learning  |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli |
An Apprentice-Based Approach to Knowledge Acquisition.  |
Artif. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Learning from Queries and Examples with Tree-structured Bias.  |
ICML  |
1993 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
A Theory of Unsupervised Speedup Learning.  |
AAAI  |
1992 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
A Formalization of Explanation-Based Macro-operator Learning.  |
IJCAI  |
1991 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Learning with Incrutable Theories.  |
ML  |
1991 |
DBLP BibTeX RDF |
|
| 1 | Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli |
Maximizing the Predictive Value of Production Rules.  |
Artif. Intell.  |
1990 |
DBLP DOI BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem.  |
IJCAI  |
1989 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli |
Planning Approximate Plans for Use in the Real World.  |
ML  |
1989 |
DBLP BibTeX RDF |
|
| 1 | Sridhar Mahadevan, Prasad Tadepalli |
On the Tractability of Learning from Incomplete Theories.  |
ML  |
1988 |
DBLP BibTeX RDF |
|
| 1 | Balas K. Natarajan, Prasad Tadepalli |
Two New Frameworks for Learning.  |
ML  |
1988 |
DBLP BibTeX RDF |
|
| 1 | Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli |
Optimizing the Predictive Value of Diagnostic Decision Rules.  |
AAAI  |
1987 |
DBLP BibTeX RDF |
|