Brian D Ziebart
Brian D Ziebart
Associate Professor of Computer Science, University of Illinois at Chicago
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Zitiert von
Zitiert von
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
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
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
BD Ziebart
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
Modeling interaction via the principle of maximum causal entropy
BD Ziebart, JA Bagnell, AK Dey
International Conference on Machine Learning (ICML), 1247-1254, 2010
Probabilistic pointing target prediction via inverse optimal control
B Ziebart, A Dey, JA Bagnell
International Conference on Intelligent User Interfaces (IUI), 1-10, 2012
Robust classification under sample selection bias
A Liu, B Ziebart
Advances in Neural Information Processing Systems (NIPS), 37-45, 2014
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
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
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
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
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
Adversarial Cost-Sensitive Classification
K Asif, W Xing, S Behpour, BD Ziebart
Uncertainty in Artificial Intelligence, 2015
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
M Monfort, A Liu, BD Ziebart
AAAI Conference on Artificial Intelligence, 2015
Dynamic application composition: Customizing the behavior of an active space
M Román, B Ziebart, RH Campbell
IEEE International Conference on Pervasive Computing and Communications …, 2003
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, 27704, 2016
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