Stéphane Ross

J. Andrew Bagnell

CoRR, 2014

Efficient programmable learning to search.

[BibT_eX]

[DOI]

Hal Daumé III

John Langford

CoRR, 2014

2013

Interactive Learning for Sequential Decisions and Predictions.

[BibT_eX]

[DOI]

PhD thesis, 2013

Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization.

[BibT_eX]

[DOI]

CoRR, 2013

Normalized Online Learning.

[BibT_eX]

[DOI]

Paul Mineiro

John Langford

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning monocular reactive UAV control in cluttered natural environments.

[BibT_eX]

[DOI]

Narek Melik-Barkhudarov

Kumar Shaurya Shankar

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning Policies for Contextual Submodular Prediction.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Agnostic System Identification for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Drew Bagnell

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.

[BibT_eX]

[DOI]

Geoffrey J. Gordon

Drew Bagnell

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Stability Conditions for Online Learnability

[BibT_eX]

[DOI]

J. Andrew Bagnell

CoRR, 2011

Learning message-passing inference machines for structured prediction.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Efficient Reductions for Imitation Learning.

[BibT_eX]

[DOI]

Drew Bagnell

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

No-Regret Reductions for Imitation Learning and Structured Prediction

[BibT_eX]

[DOI]

Geoffrey J. Gordon

J. Andrew Bagnell

CoRR, 2010

2009

Bayesian reinforcement learning in continuous POMDPs with gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Sensitivity Analysis of POMDP Value Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Online Planning Algorithms for POMDPs.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2008

Model-Based Bayesian Reinforcement Learning in Large Structured Domains.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Bayesian reinforcement learning in continuous POMDPs with application to robot navigation.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Theoretical Analysis of Heuristic Search Methods for Online POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bayes-Adaptive POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

2006

Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games.

[BibT_eX]

[DOI]