- Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation
Dov Katz, Arun Venkatraman, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
Robotics: Science and Systems Conference, June, 2013.
Details |
pdf (6MB) | Copyrighted
- CHOMP: Covariant Hamiltonian Optimization for Motion Planning
Matthew Zucker, Nathan Ratliff, Anca Dragan, Mihail Pivtoraiko, Matthew Klingensmith, Christopher Dellin, J. Andrew (Drew) Bagnell, and Siddhartha Srinivasa
International Journal of Robotics Research, , May, 2013,
Details |
pdf (7MB) | Copyrighted
- Efficient 3-D Scene Analysis from Streaming Data
Hanzhang Hu, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2013.
Details |
pdf (1MB) | Copyrighted
- Efficient Temporal Consistency for Streaming Video Scene Analysis
Ondrej Miksik, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2013.
Details |
pdf (1MB) | Copyrighted
- Efficient Touch Based Localization through Submodularity
Shervin Javdani, Matthew Klingensmith, J. Andrew (Drew) Bagnell, Nancy Pollard, and Siddhartha Srinivasa
IEEE International Conference on Robotics and Automation (ICRA), May, 2013.
Details |
pdf (3MB) | Copyrighted
- Interactive Segmentation, Tracking, and Kinematic Modeling of Unknown 3D Articulated Objects
Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
Proceedings of IEEE International Conference on Robotics and Automation, May, 2013.
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pdf (3MB) | Copyrighted
- An Architecture for Online Semantic Labeling on UGVs
Arne Suppe, Luis Ernesto Navarro-Serment, Daniel Munoz, Drew Bagnell, Arne Suppe, Luis Ernesto Navarro-Serment, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
Proc. SPIE 8741, Unmanned Systems Technology XV, April, 2013.
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pdf (3MB) | Copyrighted
- Clearing a Pile of Unknown Objects using Interactive Perception
Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
Proceedings of IEEE International Conference on Robotics and Automation, March, 2013.
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pdf (3MB) | Copyrighted
- Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation, March, 2013.
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pdf (2MB) | Copyrighted
- The Principle of Maximum Causal Entropy for Estimating Interacting Processes
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
IEEE Transactions on Information Theory, , February, 2013,
Details |
pdf (862KB) | Copyrighted
- Clearing a Pile of Unknown Objects using Interactive Perception
Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
tech. report CMU-RI-TR-12-34, Robotics Institute, Carnegie Mellon University, November, 2012
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pdf (26MB) | Copyrighted
- Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew (Drew) Bagnell, and Martial Hebert
November, 2012.
Details |
pdf (11MB) | Copyrighted
- Semi-Autonomous Manipulation of Natural Objects
Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
tech. report CMU-RI-TR-12-33, Robotics Institute, Carnegie Mellon University, November, 2012
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pdf (14MB) | Copyrighted
- Activity Forecasting
Kris Kitani, Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Martial Hebert
European Conference on Computer Vision, October, 2012.
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pdf (2MB) | Copyrighted
- An Integrated System for Autonomous Robotics Manipulation
J. Andrew (Drew) Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tommy Liu, Nancy Pollard, Mikhail Pivtoraiko, Jean-Sebastien Valois, and Ranqi Zhu
IEEE/RSJ International Conference on Intelligent Robots and Systems, October, 2012, pp. 2955-2962.
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pdf (3MB) | Copyrighted
- Co-inference for Multi-modal Scene Analysis
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
European Conference on Computer Vision (ECCV), October, 2012.
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pdf (4MB) | Copyrighted
- Detecting Interesting Events using Unsupervised Density Ratio Estimation
Yuichi Ito, Kris Kitani, J. Andrew (Drew) Bagnell, and Martial Hebert
3rd IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams at ECCV2012, October, 2012.
Details |
pdf (1MB) | Copyrighted
- Efficient 3-D Scene Analysis from Streaming Data
Hanzhang Hu, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-12-29, Robotics Institute, Carnegie Mellon University, September, 2012
Details |
pdf (2MB) | Copyrighted
- Efficient Temporal Consistency for Streaming Video Scene Analysis
Ondrej Miksik, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-12-30, Robotics Institute, Carnegie Mellon University, September, 2012
Details |
pdf (1MB) | Copyrighted
- Contextual Sequence Optimization with Application to Control Library Optimization
Debadeepta Dey, Tommy Liu, Martial Hebert, and J. Andrew (Drew) Bagnell
Robotics Science and Systems, August, 2012.
Details |
pdf (2MB) | Copyrighted
- Efficient Touch Based Localization through Submodularity
Shervin Javdani, Matthew Klingensmith, J. Andrew (Drew) Bagnell, Nancy Pollard, and Siddhartha Srinivasa
tech. report CMU-RI-TR-12-25, Robotics Institute, Carnegie Mellon University, August, 2012
Details |
pdf (3MB) | Copyrighted
- Efficient Optimization of Control Libraries
Debadeepta Dey, Tommy Liu, Boris Sofman, and J. Andrew (Drew) Bagnell
26th Conference of Association for Advancement of Artificial Intelligence, July, 2012.
Details |
pdf (1MB) | Copyrighted
- Robust Object Grasping using Force Compliant Motion Primitives
Moslem Kazemi, Jean-Sebastien Valois, J. Andrew (Drew) Bagnell, and Nancy Pollard
Robotics: Science and Systems, July, 2012.
Details |
pdf (3MB) | Copyrighted
- Learning Autonomous Driving Styles and Maneuvers from Expert Demonstration
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
International Symposium on Experimental Robotics, June, 2012.
Details |
pdf (445KB) | Copyrighted
- Active Learning from Demonstration for Robust Autonomous Navigation
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
IEEE Conference on Robotics and Automation, May, 2012.
Details |
pdf (1MB) | Copyrighted
- SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alexander Grubb and J. Andrew (Drew) Bagnell
Fifteenth International Conference on Artificial Intelligence and Statistics, April, 2012.
Details |
pdf (2MB) | Copyrighted
- Interactive Segmentation, Tracking, and Kinematic Modeling of Unknown Articulated Objects
Dov Katz, Moslem Kazemi, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
tech. report CMU-RI-TR-12-06, Robotics Institute, Carnegie Mellon University, March, 2012
Details |
pdf (6MB) | Copyrighted
- Predicting Contextual Sequences via Submodular Function Maximization
Debadeepta Dey, Tommy Liu, Martial Hebert, and J. Andrew (Drew) Bagnell
tech. report CMU-RI-TR-12-05, Robotics Institute, Carnegie Mellon University, February, 2012
Details |
pdf (2MB) | Copyrighted
- Probabilistic Pointing Target Prediction via Inverse Optimal Control
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
International Conference on Intelligent User Interfaces (IUI 2012) , February, 2012.
Details |
pdf (588KB) | Copyrighted
- Reinforcement Planning: RL for Optimal Planners
Matthew Zucker and J. Andrew (Drew) Bagnell
IEEE International Conference on Robotics and Automation (ICRA), February, 2012.
Details |
pdf (2MB) | Copyrighted
- Robust Object Grasping using Force Compliant Motion Primitives
Moslem Kazemi, Jean-Sebastien Valois, J. Andrew (Drew) Bagnell, and Nancy Pollard
tech. report CMU-RI-TR-12-04, Robotics Institute, Carnegie Mellon University, January, 2012
Details |
pdf (4MB) | Copyrighted
- Computational Rationalization: The Inverse Equilibrium Problem
Kevin Waugh, Brian D. Ziebart, and J. Andrew (Drew) Bagnell
Proceedings of the International Conference on Machine Learning, June, 2011.
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pdf (289KB) | Copyrighted
- Efficient Optimization of Control Libraries
Debadeepta Dey, Tommy Liu, Boris Sofman, and J. Andrew (Drew) Bagnell
tech. report CMU-RI-TR-11-20, Robotics Institute, Carnegie Mellon University, June, 2011
Details |
pdf (1MB) | Copyrighted
- Learning Message-Passing Inference Machines for Structured Prediction
Stephane Ross, Daniel Munoz, Martial Hebert, and J. Andrew (Drew) Bagnell
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011.
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pdf (2MB) | Copyrighted
- 3-D Scene Analysis via Sequenced Predictions over Points and Regions
Xuehan Xiong, Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), May, 2011.
Details |
pdf (2MB) | Copyrighted
- Generalized Boosting Algorithms for Convex Optimization
Alexander Grubb and J. Andrew (Drew) Bagnell
Proceedings of the 28th International Conference on Machine Learning, May, 2011.
Details |
pdf (836KB) | Copyrighted
- Maximum Causal Entropy Correlated Equilibria for Markov Games
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), May, 2011.
Details |
- Segmentation-Based Online Change Detection for Mobile Robots
Bradford Neuman, Boris Sofman, Anthony (Tony) Stentz, and J. Andrew (Drew) Bagnell
International Conference on Robotics and Automation, May, 2011.
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pdf (2MB) | Copyrighted
- A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey Gordon, and J. Andrew (Drew) Bagnell
Proceedings of the 14th International Conference on Artifical Intelligence and Statistics (AISTATS), April, 2011.
Details |
pdf (448KB) | Copyrighted
- Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
International Journal of Robotics Research, Vol. 29, No. 12, October, 2010, pp. 1565 - 1592.
Details |
pdf (9MB) | Copyrighted
- Stacked Hierarchical Labeling
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
European Conference on Computer Vision (ECCV), September, 2010.
Details |
pdf (2MB) | Copyrighted
- Space-carving Kernels for Accurate Rough Terrain Estimation
Raia Hadsell, J. Andrew (Drew) Bagnell, Daniel Huber, and Martial Hebert
International Journal of Robotics Research, Vol. 29, No. 8, July, 2010, pp. 981-996.
Details |
pdf (6MB) | Copyrighted
- Learning for Autonomous Navigation: Advances in Machine Learning for Rough Terrain Mobility
J. Andrew (Drew) Bagnell, David Bradley, David Silver, Boris Sofman, and Anthony (Tony) Stentz
IEEE Robotics & Automation Magazine
Details |
pdf (6MB) | Copyrighted
- Modeling Interaction via the Principle of Maximum Causal Entropy
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
International Conference on Machine Learning , June, 2010.
Details |
pdf (833KB) | Copyrighted
- An Optimization Approach to Rough Terrain Locomotion
Matthew Zucker, J. Andrew (Drew) Bagnell, Chris Atkeson, and James Kuffner
IEEE Conference on Robotics and Automation, May, 2010.
Details |
pdf (2MB) | Copyrighted
- Anytime Online Novelty Detection for Vehicle Safeguarding
Boris Sofman, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
IEEE International Conference on Robotics and Automation, May, 2010.
Details |
pdf (2MB) | Copyrighted
- Boosted Backpropagation Learning for Training Deep Modular Networks
Alexander Grubb and J. Andrew (Drew) Bagnell
Proceedings of the 27th International Conference on Machine Learning, May, 2010.
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pdf (1MB) | Copyrighted
- Efficient Reductions for Imitation Learning
Stephane Ross and J. Andrew (Drew) Bagnell
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), May, 2010.
Details |
pdf (390KB) | Copyrighted
- Reinforcement Planning: RL for Optimal Planners
Matthew Zucker and J. Andrew (Drew) Bagnell
tech. report CMU-RI-TR-10-14, Robotics Institute, Carnegie Mellon University, April, 2010
Details |
pdf (3MB) | Copyrighted
- Domain Adaptation For Mobile Robot Navigation
David Bradley and J. Andrew (Drew) Bagnell
January, 2010.
Details |
- On Two Methods for Semi-Supervised Structured Prediction
Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert
tech. report CMU-RI-TR-10-02, Robotics Institute, Carnegie Mellon University, January, 2010
Details |
pdf (2MB) | Copyrighted
- Policy Gradient Methods
Jan Peters and J. Andrew (Drew) Bagnell
Springer Encyclopedia of Machine Learning, 2010
Details |
pdf (164KB) | Copyrighted
- Planning-based Prediction for Pedestrians
Brian D. Ziebart, Nathan Ratliff, Garratt Gallagher, Christoph Mertz, Kevin Peterson, J. Andrew (Drew) Bagnell, Martial Hebert, Anind Dey, and Siddhartha Srinivasa
Proc. IROS 2009, October, 2009.
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pdf (2MB) | Copyrighted
- Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
International Symposium of Robotics Research, August, 2009.
Details |
pdf (1MB) | Copyrighted
- Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
Field and Service Robotics, July, 2009.
Details |
pdf (4MB) | Copyrighted
- Bandit-Based Online Candidate Selection for Adjustable Autonomy
Boris Sofman, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
7th International Conferences on Field and Service Robotics, July, 2009.
Details |
pdf (961KB) | Copyrighted
- Learning to search: Functional gradient techniques for imitation learning
Nathan Ratliff, David Silver, and J. Andrew (Drew) Bagnell
Autonomous Robots, Vol. 27, No. 1, July, 2009, pp. 25-53.
Details |
pdf (6MB) | Copyrighted
- Accurate Rough Terrain Estimation with Space-Carving Kernels
Raia Hadsell, J. Andrew (Drew) Bagnell, Daniel Huber, and Martial Hebert
Proc. Robotics Science and Systems, June, 2009.
Details |
pdf (4MB) | Copyrighted
- Contextual Classification with Functional Max-Margin Markov Networks
Daniel Munoz, J. Andrew (Drew) Bagnell, Nicolas Vandapel, and Martial Hebert
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June, 2009.
Details |
pdf (3MB) | Copyrighted
- Convex Coding
David Bradley and J. Andrew (Drew) Bagnell
Uncertainty in Artificial Intelligence (UAI), June, 2009.
Details |
pdf (742KB) | Copyrighted
- CHOMP: Gradient Optimization Techniques for Efficient Motion Planning
Nathan Ratliff, Matthew Zucker, J. Andrew (Drew) Bagnell, and Siddhartha Srinivasa
IEEE International Conference on Robotics and Automation (ICRA), May, 2009.
Details |
pdf (2MB) | Copyrighted
- Convex Coding
David Bradley and J. Andrew (Drew) Bagnell
tech. report CMU-RI-TR-09-22, Robotics Institute, Carnegie Mellon University, May, 2009
Details |
pdf (4MB) | Copyrighted
- GATMO: a Generalized Approach to Tracking Movable Objects
Garratt Gallagher, Siddhartha Srinivasa, J. Andrew (Drew) Bagnell, and David Ferguson
IEEE International Conference on Robotics and Automation, May, 2009.
Details |
pdf (2MB) | Copyrighted
- A Space-Carving Approach to Surface Estimation
Santosh Kumar Divvala, J. Andrew (Drew) Bagnell, and Martial Hebert
April, 2009.
Details |
- Anytime Online Novelty Detection for Vehicle Safeguarding
Boris Sofman, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
tech. report CMU-RI-TR-09-17, Robotics Institute, Carnegie Mellon University, April, 2009
Details |
pdf (2MB) | Copyrighted
- Inverse Optimal Heuristic Control for Imitation Learning
Nathan Ratliff, Brian D. Ziebart, Kevin Peterson, J. Andrew (Drew) Bagnell, Martial Hebert, Anind Dey, and Siddhartha Srinivasa
Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), April, 2009.
Details |
pdf (2MB) | Copyrighted
- Differentiable Sparse Coding
David Bradley and J. Andrew (Drew) Bagnell
Proceedings of Neural Information Processing Systems 22, December, 2008.
Details |
pdf (494KB) | Copyrighted
- Fast Planning for Dynamic Preferences
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
ICAPS: International Conference on Automated Planning and Scheduling, September, 2008.
Details |
pdf (832KB) | Copyrighted
- Maximum Entropy Inverse Reinforcement Learning
Brian D. Ziebart, Andrew Maas, J. Andrew (Drew) Bagnell, and Anind Dey
Proceeding of AAAI 2008, July, 2008.
Details |
pdf (296KB) | Copyrighted
- Autonomous driving in urban environments: Boss and the Urban Challenge
Christopher Urmson, Joshua Anhalt, Hong Bae, J. Andrew (Drew) Bagnell, Christopher R. Baker , Robert E. Bittner, Thomas Brown, M. N. Clark, Michael Darms, Daniel Demitrish, John M. Dolan, David Duggins, David Ferguson, Tugrul Galatali, Christopher M. Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas Howard, Sascha Kolski, Maxim Likhachev, Bakhtiar Litkouhi, Alonzo Kelly, Matthew McNaughton, Nick Miller, Jim Nickolaou, Kevin Peterson, Brian Pilnick, Raj Rajkumar, Paul Rybski, Varsha Sadekar, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Joshua C. Struble, Anthony (Tony) Stentz, Michael Taylor , William (Red) L. Whittaker, Ziv Wolkowicki, Wende Zhang, and Jason Ziglar
Journal of Field Robotics Special Issue on the 2007 DARPA Urban Challenge, Part I, Vol. 25, No. 8, June, 2008, pp. 425-466.
Details |
pdf (1MB) | Copyrighted
- High Performance Outdoor Navigation from
Overhead Data using Imitation Learning
David Silver, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
Robotics Science and Systems, June, 2008.
Details |
pdf (4MB) | Copyrighted
- Adaptive Workspace Biasing for Sampling Based Planners
Matthew Zucker, James Kuffner, and J. Andrew (Drew) Bagnell
Proc. IEEE Int'l Conf. on Robotics and Automation, May, 2008.
Details |
pdf (977KB) | Copyrighted
- Adaptive workspace biasing for sampling-based planners
Matthew Zucker, James Kuffner, and J. Andrew (Drew) Bagnell
April, 2008.
Details |
pdf (977KB) | Copyrighted
- Human Behavior Modeling with Maximum Entropy Inverse Optimal Control
Brian D. Ziebart, Andrew L. Maas, J. Andrew (Drew) Bagnell, and Anind Dey
April, 2008.
Details |
pdf (677KB) | Copyrighted
- Navigate Like a Cabbie: Probabilistic Reasoning from Observed Context-Aware Behavior
Brian D. Ziebart, Andrew Maas, Anind Dey, and J. Andrew (Drew) Bagnell
UBICOMP: Ubiquitious Computation, 2008.
Details |
pdf (692KB) | Copyrighted
- Imitation Learning for Locomotion and Manipulation
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Siddhartha Srinivasa
tech. report CMU-RI-TR-07-45, Robotics Institute, Carnegie Mellon University, December, 2007
Details |
pdf (2MB) | Copyrighted
- Imitation Learning for Locomotion and Manipulation
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Siddhartha Srinivasa
IEEE-RAS International Conference on Humanoid Robots, November, 2007.
Details |
pdf (2MB) | Copyrighted
- Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
Proceedings of Uncertainty in Artificial Intelligence (UAI 2007), July, 2007.
Details |
pdf (340KB) | Copyrighted
- Tartan Racing: A Multi-Modal Approach to the DARPA Urban
Challenge
Christopher Urmson, Joshua Anhalt, J. Andrew (Drew) Bagnell, Christopher R. Baker , Robert E. Bittner, John M. Dolan, David Duggins, David Ferguson, Tugrul Galatali, Hartmut Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas Howard, Alonzo Kelly, David Kohanbash, Maxim Likhachev, Nick Miller, Kevin Peterson, Raj Rajkumar, Paul Rybski, Bryan Salesky, Sebastian Scherer, Young-Woo Seo, Reid Simmons, Sanjiv Singh, Jarrod M. Snider, Anthony (Tony) Stentz, William (Red) L. Whittaker, and Jason Ziglar
tech. report CMU-RI-TR-, Robotics Institute, Carnegie Mellon University, April, 2007
Details |
pdf (4MB) | Copyrighted
- Vegetation Detection for Driving in Complex Environments
David Bradley, Ranjith Unnikrishnan, and J. Andrew (Drew) Bagnell
IEEE International Conference on Robotics and Automation, April, 2007.
Details |
pdf (2MB) | Copyrighted
- (Online) Subgradient Methods for Structured Prediction
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Martin Zinkevich
Eleventh International Conference on Artificial Intelligence and Statistics (AIStats), March, 2007.
Details |
pdf (375KB) | Copyrighted
- Creating Low-Cost Soil Maps for Tropical Agriculture using Gaussian Processes
Juan Pablo Gonzalez, Simon Cook, Thomas Oberthur, Andrew Jarvis, J. Andrew (Drew) Bagnell, and M Bernardine Dias
Workshop on AI in ICT for Development (ICTD) at the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), January, 2007.
Details |
pdf (856KB) | Copyrighted
- Kernel Conjugate Gradient for Fast Kernel Machines
Nathan Ratliff and J. Andrew (Drew) Bagnell
International Joint Conference on Artificial Intelligence, January, 2007.
Details |
pdf (7MB) | Copyrighted
- Boosting Structured Prediction for Imitation Learning
Nathan Ratliff, David Bradley, J. Andrew (Drew) Bagnell, and Joel Chestnutt
Advances in Neural Information Processing Systems 19, 2007.
Details |
pdf (847KB) | Copyrighted
- Improving Robot Navigation Through Self-Supervised Online Learning
Boris Sofman, Ellie Lin Ratliff, J. Andrew (Drew) Bagnell, John Cole, Nicolas Vandapel, and Anthony (Tony) Stentz
Journal of Field Robotics, Vol. 23, No. 12, December, 2006,
Details |
pdf (2MB) | Copyrighted
- Experimental Analysis of Overhead Data Processing To Support Long Range Navigation
David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew (Drew) Bagnell, and Anthony (Tony) Stentz
IEEE International Conference on Intelligent Robots and Systems (IROS), October, 2006, pp. 2443 - 2450.
Details |
pdf (1MB) | Copyrighted
- Improving Robot Navigation Through Self-Supervised Online Learning
Boris Sofman, Ellie Lin Ratliff, J. Andrew (Drew) Bagnell, Nicolas Vandapel, and Anthony (Tony) Stentz
Proceedings of Robotics: Science and Systems, August, 2006.
Details |
pdf (2MB) | Copyrighted
- Maximum Margin Planning
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Martin Zinkevich
International Conference on Machine Learning, July, 2006.
Details |
pdf (2MB) | Copyrighted
- On Local Rewards and Scaling Distributed Reinforcement Learning
J. Andrew (Drew) Bagnell and Andrew Ng
Neural Information Processing Systems, May, 2006.
Details |
pdf (728KB) | Copyrighted
- Subgradient Methods for Maximum Margin Structured Learning
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Martin Zinkevich
April, 2006.
Details |
- Terrain Classification from Aerial Data to Support Ground Vehicle Navigation
Boris Sofman, J. Andrew (Drew) Bagnell, Anthony (Tony) Stentz, and Nicolas Vandapel
tech. report CMU-RI-TR-05-39, Robotics Institute, Carnegie Mellon University, January, 2006
Details |
pdf (698KB) | Copyrighted
- Gaussian Processes for Statistical Soil Modeling of the Tropics
Juan Pablo Gonzalez, J. Andrew (Drew) Bagnell, Simon Cook, Thomas Oberthur, Andrew Jarvis, and Mauricio Rincon
tech. report CMU-RI-TR-05-52, Robotics Institute, Carnegie Mellon University, October, 2005
Details |
pdf (2MB) | Copyrighted
- Cost-Sensitive Learning for Confidential Access Control
Young-Woo Seo, J. Andrew (Drew) Bagnell, and Katia Sycara
tech. report CMU-RI-TR-05-31, Robotics Institute, Carnegie Mellon University, June, 2005
Details |
pdf (186KB) | Copyrighted
- Kernel Conjugate Gradient
Nathan Ratliff and J. Andrew (Drew) Bagnell
tech. report CMU-RI-TR-05-30, Robotics Institute, Carnegie Mellon University, June, 2005
Details |
pdf (103KB) | Copyrighted
- Robust Supervised Learning
J. Andrew (Drew) Bagnell
Proceedings of AAAI, June, 2005.
Details |
pdf (118KB) | Copyrighted
- Learning Opportunity Costs in Multi-Robot Market Based Planners
Jeff Schneider, David Apfelbaum, J. Andrew (Drew) Bagnell, and Reid Simmons
April, 2005.
Details |
pdf (257KB) | Copyrighted
- Learning Decisions: Robustness, Uncertainty, and Approximation
J. Andrew (Drew) Bagnell
doctoral dissertation, tech. report CMU-RI-TR-04-67, Robotics Institute, Carnegie Mellon University, August, 2004
Details |
pdf (3MB) | Copyrighted
- Policy Search by Dynamic Programming
J. Andrew (Drew) Bagnell, Sham Kakade, Andrew Ng, and Jeff Schneider
Neural Information Processing Systems, December, 2003.
Details |
pdf (157KB) | Copyrighted
- Policy Search in Reproducing Kernel Hilbert Space
J. Andrew (Drew) Bagnell and Jeff Schneider
tech. report CMU-RI-TR-03-45, Robotics Institute, Carnegie Mellon University, November, 2003
Details |
pdf (351KB) | Copyrighted
- Covariant Policy Search
J. Andrew (Drew) Bagnell and Jeff Schneider
Proceeding of the International Joint Conference on Artifical Intelligence, August, 2003.
Details |
pdf (136KB) | Copyrighted
- Learning with scope; with application to information extraction and classification
David Blei, J. Andrew (Drew) Bagnell, and Andrew McCallum
Uncertainty in Artificial Intelligence, June, 2002, pp. 53-60.
Details |
pdf (132KB) | Copyrighted
- Learning with Scope, with Application to Information Extraction and Classification
David Blei, J. Andrew (Drew) Bagnell, and Andrew Mccallum
April, 2002.
Details |
pdf (132KB) | Copyrighted
- Solving Uncertain Markov Decision Problems
J. Andrew (Drew) Bagnell, Andrew Y. Ng, and Jeff Schneider
tech. report CMU-RI-TR-01-25, Robotics Institute, Carnegie Mellon University, August, 2001
Details |
pdf (970KB) | Copyrighted
- Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods
J. Andrew (Drew) Bagnell and Jeff Schneider
Proceedings of the International Conference on Robotics and Automation 2001, May, 2001.
Details |
pdf (224KB) | Copyrighted
- Stabilizing Human Control Strategies through Reinforcement Learning
Michael Nechyba and J. Andrew (Drew) Bagnell
April, 1999.
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