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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.
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pdf (2MB) | 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
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pdf (3MB) | 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.
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pdf (6MB) | Copyrighted
A Data-Driven Approach to High Level Planning
Matthew Zucker
tech. report CMU-RI-TR-09-42, Robotics Institute, Carnegie Mellon University, January, 2009
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pdf (5MB) | Copyrighted
Finding and Transferring Policies Using Stored Behaviors
Martin Stolle
doctoral dissertation, tech. report CMU-RI-TR-08-27, Robotics Institute, Carnegie Mellon University, May, 2008
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pdf (10MB) | 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.
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pdf (977KB) | 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.
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pdf (375KB) | Copyrighted
Kernel Conjugate Gradient for Fast Kernel Machines
Nathan Ratliff and J. Andrew (Drew) Bagnell
International Joint Conference on Artificial Intelligence, January, 2007.
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pdf (7MB) | 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
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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.
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pdf (2MB) | Copyrighted
Transfer of policies based on trajectory libraries
Martin Stolle, Hanns Tappeiner, Joel Chestnutt, and Chris Atkeson
Proceedings of the International Conference on Intelligent Robots and Systems, 2007.
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pdf (2MB) | Copyrighted
Knowledge transfer using local features
Martin Stolle and Chris Atkeson
Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, 2007.
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pdf (1MB) | 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.
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pdf (847KB) | Copyrighted
Maximum Margin Planning
Nathan Ratliff, J. Andrew (Drew) Bagnell, and Martin Zinkevich
International Conference on Machine Learning, July, 2006.
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pdf (2MB) | 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
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pdf (103KB) | Copyrighted
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