J. Andrew Bagnell
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Reinforcement learning in robotics: A survey
J Kober, JA Bagnell, J Peters
The International Journal of Robotics Research 32 (11), 1238-1274, 2013
Maximum entropy inverse reinforcement learning.
BD Ziebart, AL Maas, JA Bagnell, AK Dey
Aaai 8, 1433-1438, 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
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
A Survey on Policy Search for Robotics.
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 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
Efficient reductions for imitation learning
S Ross, D Bagnell
Proceedings of the thirteenth international conference on artificial …, 2010
Activity forecasting
KM Kitani, BD Ziebart, JA Bagnell, M Hebert
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 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
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
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
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
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
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
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
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
Modeling interaction via the principle of maximum causal entropy
BD Ziebart, JA Bagnell, AK Dey
Carnegie Mellon University, 2010
System, method and device for predicting navigational decision-making behavior
AK Dey, JA Bagnell, BD Ziebart
US Patent 8,478,642, 2013
Learning to search: Functional gradient techniques for imitation learning
ND Ratliff, D Silver, JA Bagnell
Autonomous Robots 27, 25-53, 2009
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