J. Andrew Bagnell
Cited by
Cited by
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
On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
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
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