Pieter Abbeel

Assistant Professor of Electrical Engineering and Computer Science
Keywords: controls
Research Areas: robotics, machine learning and control
Website: http://www.eecs.berkeley.edu/Faculty/Homepages/abbeel.html

Research Description:

Artificial intelligence, control, intelligent systems, and robotics, signal processing.

Selected Publications:

  • P. Abbeel, D. Dolgov, A. Y. Ng and S. Thrun. Apprenticeship learning for motion planning with application to parking lot navigation. Proceedings of International Conference on Intelligent Systems and Robots (IROS), 2008.
  • A. Coates, P. Abbeel and A. Y. Ng. Learning for control from multiple demonstrations. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML), 2008.
  • J.Z. Kolter, P. Abbeel and A. Y. Ng. Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion. Neural Information Processing Systems (NIPS) 20, 2008.
  • P. Abbeel, A. Coates, M. Quigley and A. Y. Ng. An Application of Reinforcement Learning to Aerobatic Helicopter Flight. Neural Information Processing Systems (NIPS) 19, 2007.
  • P. Abbeel and A. Y. Ng. Apprenticeship Learning via Inverse Reinforcement Learning. Proceedings of the Twenty-first International Conference on Machine Learning (ICML), 2004.
  • P. Abbeel, A. Coates, T. Hunter and A. Y. Ng. Autonomous auto-rotation of an RC helicopter. Proceedings of International Symposium on Experimental Robotics (ISER), 2008.
  • P. Abbeel, M. Quigley and A. Y. Ng. Using Inaccurate Models in Reinforcement Learning. Proceedings of the Twenty-third International Conference on Machine Learning (ICML), 2006.
  • P. Abbeel, D. Koller and A. Y. Ng. Learning Factor Graphs in Polynomial Time and Sample

    Complexity. Journal of Machine Learning Research (JMLR), 2006.

  • P. Abbeel and A. Y. Ng. Exploration and Apprenticeship Learning in Reinforcement Learning. Proceedings of the Twenty-second International Conference on Machine Learning (ICML), 2005.

  • P. Abbeel and A. Y. Ng. Learning first-order Markov Models for Control. Neural Information Processing Systems (NIPS) 17, 2005.

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