Brian D Ziebart
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Maximum Entropy Inverse Reinforcement Learning
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Conference on Artificial Intelligence, 1433-1438, 2008
Activity forecasting
KM Kitani, BD Ziebart, JA Bagnell, M Hebert
European Conference on Computer Vision (ECCV), 201-214, 2012
Planning-based prediction for pedestrians
BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ...
International Conference on Intelligent Robots and Systems (IROS), 3931-3936, 2009
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
BD Ziebart
Carnegie Mellon University, 2010
Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
BD Ziebart, AL Maas, AK Dey, JA Bagnell
International Conference on Ubiquitous Computing (Ubicomp), 322-331, 2008
System, method and device for predicting navigational decision-making behavior
AK Dey, JA Bagnell, BD Ziebart
US Patent 8,478,642, 2013
Modeling interaction via the principle of maximum causal entropy
BD Ziebart, JA Bagnell, AK Dey
International Conference on Machine Learning (ICML), 1247-1254, 2010
Robust classification under sample selection bias
A Liu, B Ziebart
Advances in Neural Information Processing Systems (NIPS), 37-45, 2014
Probabilistic pointing target prediction via inverse optimal control
B Ziebart, A Dey, JA Bagnell
International Conference on Intelligent User Interfaces (IUI), 1-10, 2012
TherML: occupancy prediction for thermostat control
C Koehler, BD Ziebart, J Mankoff, AK Dey
Pervasive and Ubiquitous Computing (Ubicomp), 103-112, 2013
Towards a pervasive computing benchmark
A Ranganathan, J Al-Muhtadi, J Biehl, B Ziebart, RH Campbell, B Bailey
Pervasive Computing and Communications Workshops, 194-198, 2005
Computational rationalization: The inverse equilibrium problem
K Waugh, BD Ziebart, JA Bagnell
arXiv preprint arXiv:1308.3506, 2013
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Spring Symposium: Human Behavior Modeling, 92-, 2009
The principle of maximum causal entropy for estimating interacting processes
BD Ziebart, JA Bagnell, AK Dey
IEEE Transactions on Information Theory 59 (4), 1966-1980, 2013
Robust covariate shift regression
X Chen, M Monfort, A Liu, BD Ziebart
Artificial Intelligence and Statistics, 1270-1279, 2016
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
M Monfort, A Liu, BD Ziebart
AAAI Conference on Artificial Intelligence, 2015
Both nearest neighbours and long-term affiliates predict individual locations during collective movement in wild baboons
DR Farine, A Strandburg-Peshkin, T Berger-Wolf, B Ziebart, I Brugere, J Li, ...
Scientific reports 6 (1), 1-10, 2016
Adversarial Cost-Sensitive Classification
K Asif, W Xing, S Behpour, BD Ziebart
Uncertainty in Artificial Intelligence, 2015
A sense-topic model for word sense induction with unsupervised data enrichment
J Wang, M Bansal, K Gimpel, BD Ziebart, CT Yu
Transactions of the Association for Computational Linguistics 3, 59-71, 2015
Inverse optimal heuristic control for imitation learning
N Ratliff, B Ziebart, K Peterson, JA Bagnell, M Hebert, AK Dey, S Srinivasa
Artificial Intelligence and Statistics (AISTATS), 2009
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