Apprenticeship Learning and Reinforcement Learning with Application to Robotic Control
Pieter Abbeel
Ph.D. Dissertation, Stanford University, Computer Science, August 2008
pdf

Apprenticeship Learning for Motion Planning with Application to Parking Lot Navigation,
Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng and Sebastian Thrun.
To appear in Proceedings of the International Conference on Intellegent RObots and Systems (IROS) , 2008. (pdf)

Autonomous Autorotation of an RC Helicopter, Ben Wegbreit IFRR Student Fellowship Award,
Pieter Abbeel, Adam Coates, Timothy Hunter and Andrew Y. Ng.
To appear in 11th International Symposium on Experimental Robotics (ISER) , 2008. (pdf, supplementary material)

Learning for Control from Muliple Demonstrations, Best paper award: best application paper,
Adam Coates, Pieter Abbeel and Andrew Y. Ng.
To appear in Proceedings of ICML, 2008. (ps, pdf, supplementary material)

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion,
J. Zico Kolter, Pieter Abbeel and Andrew Y. Ng.
In NIPS 20, 2008. (ps, pdf)

Portable GNSS Baseband Logging,
Morgan Quigley, Pieter Abbeel, Dave S. De Lorenzo, Yi Gu, Sara Bolouki, Dennis Akos, and Andrew Y. Ng.
In Institute of Navigation (ION) GNSS Conference, 2007. (pdf)

An Application of Reinforcement Learning to Aerobatic Helicopter Flight,
Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng.
In NIPS 19, 2007. (ps, pdf)

Max-margin classification of incomplete data,
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller.
In NIPS 19, 2007. (pdf)

Learning Factor Graphs in Polynomial Time & Sample Complexity,
Pieter Abbeel, Daphne Koller and Andrew Y. Ng.
Journal of Machine Learning Research, 7(Aug):1743--1788, 2006. (pdf)

Efficient L1 Regularized Logistic Regression,
SuIn Lee, Honglak Lee, Pieter Abbeel and Andrew Y. Ng.
In Proceedings of AAAI, 2006. (pdf)

Using Inaccurate Models in Reinforcement Learning,
Pieter Abbeel, Morgan Quigley and Andrew Y. Ng.
In Proceedings of ICML, 2006. (ps, pdf, long version: ps pdf)

Modeling Vehicular Dynamics, with Application to Modeling Helicopters,
Pieter Abbeel, Varun Ganapathi and Andrew Y. Ng.
In NIPS 18, 2006. (ps, .pdf)

Exploration and Apprenticeship Learning in Reinforcement Learning,
Pieter Abbeel and Andrew Y. Ng.
In Proceedings of ICML, 2005. (ps, pdf, long version: ps, pdf)

Learning Factor Graphs in Polynomial Time & Sample Complexity,
Pieter Abbeel, Daphne Koller and Andrew Y. Ng.
In Proceedings of UAI, 2005. (ps, pdf)

Discriminative training of Kalman filters,
Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng and Sebastian Thrun.
In Proceedings of RSS, 2005. (ps, pdf)

Learning First Order Markov Models for Control,
Pieter Abbeel and Andrew Y. Ng.
In NIPS 17, 2005. (ps, pdf)

Apprenticeship Learning via Inverse Reinforcement Learning,
Pieter Abbeel and Andrew Y. Ng.
In Proceedings of ICML, 2004. (ps, pdf, supplement: ps , pdf, supplementary webpage here)

Link Prediction in Relational Data,
Ben Taskar, Ming-Fai Wong, Pieter Abbeel and Daphne Koller.
In NIPS 16, 2004. (ps)

Discriminative Probabilistic Models for Relational Data,
Ben Taskar, Pieter Abbeel and Daphne Koller.
In Proceedings of UAI, 2003. (ps)