Faculty Publications - Pieter Abbeel

Book chapters or sections

• J. Z. Kolter, P. Abbeel, and A. Ng, "Hierarchical apprenticeship learning with appliction to quadruped locomotion," in Advances in Neural Information Processing Systems 20: Proc. 21st Annual Conf. (NIPS 2007), D. Koller, Y. Singer, and J. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 20, Cambridge, MA: MIT Press, 2008, pp. 8 pg.
• G. Chechik, G. Heitz, G. Elidan, P. Abbeel, and D. Koller, "Max-margin classification of incomplete data," in Advances in Neural Information Processing Systems 19: Proc. 20th Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hofmann, Eds., Advances in Neural Information Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 233-240.
• P. Abbeel, A. Coates, M. Quigley, and A. Y. Ng, "An application of reinforcement learning to aerobatic helicopter flight," in Advances in Neural Information Processing Systems 19: Proc. 20st Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hofmann, Eds., Advances in Neural Informtion Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 1-8.
• P. Abbeel, V. Ganapathi, and A. Y. Ng, "Learning vehicular dynamics, with application to modeling helicopters," in Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005), Y. Weiss, B. Scholkopf, and J. C. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 1-8.
• P. Abbeel, A. Coates, M. Montemerlo, A. Y. Ng, and S. Thrun, "Discriminative training of Kalman filters," in Robotics: Science and Systems I: Proc. 1st Conf. (RSS 2005), S. Thrun, G. Sukhatme, S. Schaal, and O. Brock, Eds., Cambridge, MA: MIT Press, 2005, pp. 289-296.
• P. Abbeel and A. Y. Ng, "Learning first-order Markov models for control," in Advances in Neural Information Processing Systems 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing Systems, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 1-8.
• B. Taskar, M. F. Wong, P. Abbeel, and D. Koller, "Link prediction in relational data," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Scholkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge,MA: MIT Press, 2004, pp. 659-666.

Selected Articles in journals or magazines

• P. Abbeel, D. Koller, and A. Y. Ng, "Learning factor graphs in polynomial time and sample complexity," J. Machine Learning Research, vol. 7, pp. 1743-1788, Dec. 2006.

Selected Articles in conference proceedings

• P. Abbeel, D. Dolgov, A. Y. Ng, and S. Thrun, "Apprenticeship learning for motion planning with application to parking lot navigation," in Proc. 2008 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS '08), Piscataway, NJ: IEEE Press, 2008, pp. 1083-1090.
• A. coates, P. Abbeel, and A. Y. Ng, "Learning for control from multiple demonstrations (Best Application Paper Award)," in Proc. 25th Intl. Conf. on Machine Learning (ICML 2008), A. McCallum and S. Roweis, Eds., ACM International Conference Proceeding Series, Vol. 307, New York, NY: The Association for Computing Machinery, Inc., 2008, pp. 144-151.
• P. Abbeel, A. coates, T. Hunter, and A. Y. Ng, "Autonomous autorotation of an RC helicopter (Ben Wegbreit IFRR Student Fellowship Award)," in Proc. 11th Intl. Symp. on Experimental Robotics (ISER 2008), Springer Tracts for Advanced Robotics, Berlin, Germany: Springer-Verlag, 2008, pp. 14 pg.
• M. Quigley, P. Abbeel, D. S. De Lorenzo, Y. Gu, S. Bolouki, D. Akos, and A. Y. Ng, "Portable GNSS baseband logging," in Proc. 20th Intl. Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), Red Hook, NY: Curran Associates, Inc., 2008, pp. 2216-2223.
• S. I. Lee, H. Lee, P. Abbeel, and A. Y. Ng, "Efficient L1 regularized logistic regression," in Proc. 21st National Conf. on Artificial Intelligence (AAAI-06), Menlo Park, CA: AAAI Press, 2006, pp. 401-407.
• P. Abbeel, M. Quigley, and A. Y. Ng, "Using inaccurate models in reinforcement learning," in Proc. 23 Intl. Conf. on Machine Learning (ICML 2006), W. W. Cohen and A. Moore, Eds., ACM International Conference Proceedings Series, Vol. 148, New York, NY: The Association for Computing Machinery, Inc., 2006, pp. 1-8.
• P. Abbeel and A. Y. Ng, "Exploration and apprenticeship learning in reinforcement learning," in Proc. 22nd Intl. Conf. on Machine Learning (ICML 2005), L. De Raedt and S. Wrobel, Eds., ACM International Conference Proceeding Series, Vol. 119, New York, NY: The Association for Computing Machinery, Inc., 2005, pp. 1-8.
• P. Abbeel, D. Koller, and A. Y. Ng, "Learning factor graphs in polynomial time and sample complexity," in Proc. 21st Conf. on Uncertainty in Artificial Intelligence (UAI 2005), Arlington, VA: AUAI Press, 2005, pp. 1-9.
• P. Abbeel and A. Y. Ng, "Apprenticeship learning via inverse reinforcement learning," in Proc. 21st Intl. Conf. on Machine Learning (ICML 2004), C. Brodley, Ed., ACM International Conference Proceeding Series, Vol. 69, New York, NY: The Association for Computing Machinery, Inc., 2004, pp. 8 pg.
• B. Taskar, P. Abbeel, and D. Koller, "Discriminative probabilistic models for relational data," in Proc. 18th Annual Conf. on Uncertainty in Artificial Intelligence (UAI-02), A. Darwiche and N. Friedman, Eds., San Francisco, CA: Morgan Kaufmann Publishers, 2002, pp. 485-492.

Ph.D. Theses

• P. Abbeel, "Apprenticeship Learning and Reinforcement Learning with Application to Robotic Control," Stanford University, Department of Computer Science, Aug. 2008.