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J. Andrew Bagnell: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. J. Andrew Bagnell
    Robust Supervised Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:714-719 [Conf]
  2. Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich
    Maximum margin planning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:729-736 [Conf]
  3. J. Andrew Bagnell, Jeff G. Schneider
    Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods. [Citation Graph (0, 0)][DBLP]
    ICRA, 2001, pp:1615-1620 [Conf]
  4. J. Andrew Bagnell, Jeff G. Schneider
    Covariant Policy Search. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1019-1024 [Conf]
  5. Nathan D. Ratliff, J. Andrew Bagnell
    Kernel Conjugate Gradient for Fast Kernel Machines. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1017-1022 [Conf]
  6. J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider
    Policy Search by Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  7. Drew Bagnell, Andrew Y. Ng
    On Local Rewards and Scaling Distributed Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  8. David M. Blei, J. Andrew Bagnell, Andrew McCallum
    Learning with Scope, with Application to Information Extraction and Classification. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:53-60 [Conf]
  9. Boris Sofman, Ellie Lin, J. Andrew Bagnell, Nicolas Vandapel, Anthony Stentz
    Improving Robot Navigation Through Self-Supervised Online Learning. [Citation Graph (0, 0)][DBLP]
    Robotics: Science and Systems, 2006, pp:- [Conf]
  10. Nathan D. Ratliff, David Bradley, J. Andrew Bagnell, Joel Chestnutt
    Boosting Structured Prediction for Imitation Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1153-1160 [Conf]

  11. Maximum Entropy Inverse Reinforcement Learning. [Citation Graph (, )][DBLP]

  12. Fast Planning for Dynamic Preferences. [Citation Graph (, )][DBLP]

  13. Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior. [Citation Graph (, )][DBLP]

  14. Modeling Interaction via the Principle of Maximum Causal Entropy. [Citation Graph (, )][DBLP]

  15. Boosted Backpropagation Learning for Training Deep Modular Networks. [Citation Graph (, )][DBLP]

  16. CHOMP: Gradient optimization techniques for efficient motion planning. [Citation Graph (, )][DBLP]

  17. GATMO: A Generalized Approach to Tracking Movable Objects. [Citation Graph (, )][DBLP]

  18. Differentiable Sparse Coding. [Citation Graph (, )][DBLP]

  19. Experimental Analysis of Overhead Data Processing To Support Long Range Navigation. [Citation Graph (, )][DBLP]

  20. Learning to search: Functional gradient techniques for imitation learning. [Citation Graph (, )][DBLP]

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