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
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 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
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
The DARPA urban challenge: autonomous vehicles in city traffic
M Buehler, K Iagnemma, S Singh
springer, 2009
Activity forecasting
KM Kitani, BD Ziebart, JA Bagnell, M Hebert
European conference on computer vision, 201-214, 2012
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
Efficient reductions for imitation learning
S Ross, D Bagnell
Proceedings of the thirteenth international conference on artificial …, 2010
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
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
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
An algorithmic perspective on imitation learning
T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters
arXiv preprint arXiv:1811.06711, 2018
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
Modeling purposeful adaptive behavior with the principle of maximum causal entropy
BD Ziebart
Carnegie Mellon University, 2010
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
Seeing through water: Image restoration using model-based tracking
Y Tian, SG Narasimhan
2009 IEEE 12th International Conference on Computer Vision, 2303-2310, 2009
Pose machines: Articulated pose estimation via inference machines
V Ramakrishna, D Munoz, M Hebert, JA Bagnell, Y Sheikh
European Conference on Computer Vision, 33-47, 2014
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Articles 1–20