| Reinforcement learning in robotics: A survey J Kober, JA Bagnell, J Peters The International Journal of Robotics Research 32 (11), 1238-1274, 2013 | 4109 | 2013 |
| Maximum entropy inverse reinforcement learning. BD Ziebart, AL Maas, JA Bagnell, AK Dey Aaai 8, 1433-1438, 2008 | 3482 | 2008 |
| A reduction of imitation learning and structured prediction to no-regret online learning S Ross, G Gordon, D Bagnell Proceedings of the fourteenth international conference on artificial …, 2011 | 3345 | 2011 |
| Autonomous driving in urban environments: Boss and the urban challenge C Urmson, J Anhalt, D Bagnell, C Baker, R Bittner, MN Clark, J Dolan, ... Journal of field Robotics 25 (8), 425-466, 2008 | 2429 | 2008 |
| A Survey on Policy Search for Robotics. MP Deisenroth, G Neumann, J Peters Foundations and Trends in Robotics 2 (1-2), 1-142, 2013 | 1243 | 2013 |
| CHOMP: Gradient optimization techniques for efficient motion planning N Ratliff, M Zucker, JA Bagnell, S Srinivasa 2009 IEEE international conference on robotics and automation, 489-494, 2009 | 1133 | 2009 |
| Efficient reductions for imitation learning S Ross, D Bagnell Proceedings of the thirteenth international conference on artificial …, 2010 | 1011 | 2010 |
| Activity forecasting KM Kitani, BD Ziebart, JA Bagnell, M Hebert Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 925 | 2012 |
| Maximum margin planning ND Ratliff, JA Bagnell, MA Zinkevich Proceedings of the 23rd international conference on Machine learning, 729-736, 2006 | 909 | 2006 |
| An algorithmic perspective on imitation learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters Foundations and Trends® in Robotics 7 (1-2), 1-179, 2018 | 878 | 2018 |
| Chomp: Covariant hamiltonian optimization for motion planning M Zucker, N Ratliff, AD Dragan, M Pivtoraiko, M Klingensmith, CM Dellin, ... The International journal of robotics research 32 (9-10), 1164-1193, 2013 | 803 | 2013 |
| Planning-based prediction for pedestrians BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ... 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 659 | 2009 |
| Learning monocular reactive uav control in cluttered natural environments S Ross, N Melik-Barkhudarov, KS Shankar, A Wendel, D Dey, JA Bagnell, ... 2013 IEEE international conference on robotics and automation, 1765-1772, 2013 | 532 | 2013 |
| Contextual classification with functional max-margin markov networks D Munoz, JA Bagnell, N Vandapel, M Hebert 2009 IEEE Conference on Computer Vision and Pattern Recognition, 975-982, 2009 | 430 | 2009 |
| Autonomous helicopter control using reinforcement learning policy search methods JA Bagnell, JG Schneider Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001 | 429 | 2001 |
| Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior BD Ziebart, AL Maas, AK Dey, JA Bagnell Proceedings of the 10th international conference on Ubiquitous computing …, 2008 | 400 | 2008 |
| Pose machines: Articulated pose estimation via inference machines V Ramakrishna, D Munoz, M Hebert, J Andrew Bagnell, Y Sheikh Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 357 | 2014 |
| On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar | 354 | 2013 |
| Modeling interaction via the principle of maximum causal entropy BD Ziebart, JA Bagnell, AK Dey Carnegie Mellon University, 2010 | 345 | 2010 |
| System, method and device for predicting navigational decision-making behavior AK Dey, JA Bagnell, BD Ziebart US Patent 8,478,642, 2013 | 304 | 2013 |
