Search results for "J. Andrew Bagnell"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Alexander Grubb, Drew Bagnell	SpeedBoost: Anytime Prediction with Uniform Near-Optimality.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Stéphane Ross, J. Andrew Bagnell	Agnostic System Identification for Model-Based Reinforcement Learning	CoRR	2012	DBLP BibTeX RDF
1	Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell	Predicting Contextual Sequences via Submodular Function Maximization	CoRR	2012	DBLP BibTeX RDF
1	Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell	Probabilistic pointing target prediction via inverse optimal control.	IUI	2012	DBLP DOI BibTeX RDF
1	Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Alexander Grubb, Drew Bagnell	Generalized Boosting Algorithms for Convex Optimization.	ICML	2011	DBLP BibTeX RDF
1	Kevin Waugh, Brian D. Ziebart, Drew Bagnell	Computational Rationalization: The Inverse Equilibrium Problem.	ICML	2011	DBLP BibTeX RDF
1	Matthew Zucker, Nathan D. Ratliff, Martin Stolle, Joel E. Chestnutt, J. Andrew Bagnell, Christopher G. Atkeson, James Kuffner	Optimization and learning for rough terrain legged locomotion.	I. J. Robotic Res.	2011	DBLP DOI BibTeX RDF
1	Alexander Grubb, J. Andrew Bagnell	Generalized Boosting Algorithms for Convex Optimization	CoRR	2011	DBLP BibTeX RDF
1	Stéphane Ross, J. Andrew Bagnell	Stability Conditions for Online Learnability	CoRR	2011	DBLP BibTeX RDF
1	Kevin Waugh, Brian D. Ziebart, J. Andrew Bagnell	Computational Rationalization: The Inverse Equilibrium Problem	CoRR	2011	DBLP BibTeX RDF
1	Boris Sofman, Bradford Neuman, Anthony Stentz, J. Andrew Bagnell	Anytime online novelty and change detection for mobile robots.	J. Field Robotics	2011	DBLP DOI BibTeX RDF
1	Bradford Neuman, Boris Sofman, Anthony Stentz, J. Andrew Bagnell	Segmentation-based online change detection for mobile robots.	ICRA	2011	DBLP DOI BibTeX RDF
1	Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert	3-D scene analysis via sequenced predictions over points and regions.	ICRA	2011	DBLP DOI BibTeX RDF
1	Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell	Learning message-passing inference machines for structured prediction.	CVPR	2011	DBLP DOI BibTeX RDF
1	Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey	Maximum causal entropy correlated equilibria for Markov games.	AAMAS	2011	DBLP BibTeX RDF
1	Stéphane Ross, Drew Bagnell	Efficient Reductions for Imitation Learning.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Brian D. Ziebart, Drew Bagnell, Anind K. Dey	Maximum Causal Entropy Correlated Equilibria for Markov Games.	Interactive Decision Theory and Game Theory	2010	DBLP BibTeX RDF
1	David Silver, J. Andrew Bagnell, Anthony Stentz	Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain.	I. J. Robotic Res.	2010	DBLP DOI BibTeX RDF
1	Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert	Space-carving Kernels for Accurate Rough Terrain Estimation.	I. J. Robotic Res.	2010	DBLP DOI BibTeX RDF
1	Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell	No-Regret Reductions for Imitation Learning and Structured Prediction	CoRR	2010	DBLP BibTeX RDF
1	J. Andrew Bagnell, David M. Bradley, David Silver, Boris Sofman, Anthony Stentz	Learning for Autonomous Navigation.	IEEE Robot. Automat. Mag.	2010	DBLP DOI BibTeX RDF
1	Jan Peters, J. Andrew Bagnell	Policy Gradient Methods.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Daniel Munoz, J. Andrew Bagnell, Martial Hebert	Stacked Hierarchical Labeling.	ECCV	2010	DBLP DOI BibTeX RDF
1	Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey	Modeling Interaction via the Principle of Maximum Causal Entropy.	ICML	2010	DBLP BibTeX RDF
1	Alexander Grubb, J. Andrew Bagnell	Boosted Backpropagation Learning for Training Deep Modular Networks.	ICML	2010	DBLP BibTeX RDF
1	Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson	Autonomous Driving in Urban Environments: Boss and the Urban Challenge.	The DARPA Urban Challenge	2009	DBLP DOI BibTeX RDF
1	Nathan D. Ratliff, Brian D. Ziebart, Kevin Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa	Inverse Optimal Heuristic Control for Imitation Learning.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Nathan D. Ratliff, David Silver, J. Andrew Bagnell	Learning to search: Functional gradient techniques for imitation learning.	Auton. Robots	2009	DBLP DOI BibTeX RDF	Subgradient methods, Nonparametric optimization, Functional gradient techniques, Quadrupedal locomotion, Robotics, Planning, Grasping, Autonomous navigation, Imitation learning, Structured prediction
1	David Silver, J. Andrew Bagnell, Anthony Stentz	Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning.	ISRR	2009	DBLP DOI BibTeX RDF
1	Garratt Gallagher, Siddhartha S. Srinivasa, J. Andrew Bagnell, Dave Ferguson	GATMO: A Generalized Approach to Tracking Movable Objects.	ICRA	2009	DBLP DOI BibTeX RDF
1	Nathan D. Ratliff, Matthew Zucker, J. Andrew Bagnell, Siddhartha S. Srinivasa	CHOMP: Gradient optimization techniques for efficient motion planning.	ICRA	2009	DBLP DOI BibTeX RDF
1	Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey	Human Behavior Modeling with Maximum Entropy Inverse Optimal Control.	AAAI Spring Symposium: Human Behavior Modeling	2009	DBLP BibTeX RDF
1	David Silver, J. Andrew Bagnell, Anthony Stentz	Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain.	FSR	2009	DBLP DOI BibTeX RDF
1	Boris Sofman, J. Andrew Bagnell, Anthony Stentz	Bandit-Based Online Candidate Selection for Adjustable Autonomy.	FSR	2009	DBLP DOI BibTeX RDF
1	Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, Martial Hebert	Accurate rough terrain estimation with space-carving kernels.	Robotics: Science and Systems	2009	DBLP BibTeX RDF
1	Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson	Autonomous driving in urban environments: Boss and the Urban Challenge.	J. Field Robotics	2008	DBLP DOI BibTeX RDF
1	J. Andrew Bagnell, Stefan Schaal	Editorial: Special Issue on Machine Learning in Robotics.	I. J. Robotic Res.	2008	DBLP BibTeX RDF
1	Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell	Fast Planning for Dynamic Preferences.	ICAPS	2008	DBLP BibTeX RDF
1	Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, J. Andrew Bagnell	Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior.	UbiComp	2008	DBLP DOI BibTeX RDF	route prediction, decision modeling, vehicle navigation
1	Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey	Maximum Entropy Inverse Reinforcement Learning.	AAAI	2008	DBLP BibTeX RDF
1	J. Andrew Bagnell, David M. Bradley	Differentiable Sparse Coding.	NIPS	2008	DBLP BibTeX RDF
1	Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich	(Approximate) Subgradient Methods for Structured Prediction.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Nathan D. Ratliff, J. Andrew Bagnell	Kernel Conjugate Gradient for Fast Kernel Machines.	IJCAI	2007	DBLP BibTeX RDF
1	Boris Sofman, Ellie Lin, J. Andrew Bagnell, John Cole, Nicolas Vandapel, Anthony Stentz	Improving robot navigation through self-supervised online learning.	J. Field Robotics	2006	DBLP DOI BibTeX RDF
1	David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew Bagnell, Anthony Stentz	Experimental Analysis of Overhead Data Processing To Support Long Range Navigation.	IROS	2006	DBLP DOI BibTeX RDF
1	Boris Sofman, Ellie Lin, J. Andrew Bagnell, Nicolas Vandapel, Anthony Stentz	Improving Robot Navigation Through Self-Supervised Online Learning.	Robotics: Science and Systems	2006	DBLP BibTeX RDF
1	Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich	Maximum margin planning.	ICML	2006	DBLP DOI BibTeX RDF
1	Nathan D. Ratliff, David M. Bradley, J. Andrew Bagnell, Joel E. Chestnutt	Boosting Structured Prediction for Imitation Learning.	NIPS	2006	DBLP BibTeX RDF
1	Jeff G. Schneider, David Apfelbaum, Drew Bagnell, Reid G. Simmons	Learning Opportunity Costs in Multi-Robot Market Based Planners.	ICRA	2005	DBLP BibTeX RDF
1	J. Andrew Bagnell	Robust Supervised Learning.	AAAI	2005	DBLP BibTeX RDF
1	J. Andrew Bagnell, Andrew Y. Ng	On Local Rewards and Scaling Distributed Reinforcement Learning.	NIPS	2005	DBLP BibTeX RDF
1	J. Andrew Bagnell, Jeff G. Schneider	Covariant Policy Search.	IJCAI	2003	DBLP BibTeX RDF
1	J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider	Policy Search by Dynamic Programming.	NIPS	2003	DBLP BibTeX RDF
1	David M. Blei, J. Andrew Bagnell, Andrew McCallum	Learning with Scope, with Application to Information Extraction and Classification.	UAI	2002	DBLP BibTeX RDF
1	J. Andrew Bagnell, Jeff G. Schneider	Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods.	ICRA	2001	DBLP BibTeX RDF

Publications of J. Andrew Bagnell Drew Bagnell ( http://dblp.L3S.de/Authors/J._Andrew_Bagnell )