- The Principle of Maximum Causal Entropy for Estimating Interacting Processes
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
IEEE Transactions on Information Theory, , February, 2013,
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- Probabilistic Pointing Target Prediction via Inverse Optimal Control
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
International Conference on Intelligent User Interfaces (IUI 2012) , February, 2012.
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- Maximum Causal Entropy Correlated Equilibria for Markov Games
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), May, 2011.
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- Modeling Interaction via the Principle of Maximum Causal Entropy
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
International Conference on Machine Learning , June, 2010.
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- Planning-based Prediction for Pedestrians
Brian D. Ziebart, Nathan Ratliff, Garratt Gallagher, Christoph Mertz, Kevin Peterson, J. Andrew (Drew) Bagnell, Martial Hebert, Anind Dey, and Siddhartha Srinivasa
Proc. IROS 2009, October, 2009.
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- Inverse Optimal Heuristic Control for Imitation Learning
Nathan Ratliff, Brian D. Ziebart, Kevin Peterson, J. Andrew (Drew) Bagnell, Martial Hebert, Anind Dey, and Siddhartha Srinivasa
Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), April, 2009.
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- Fast Planning for Dynamic Preferences
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
ICAPS: International Conference on Automated Planning and Scheduling, September, 2008.
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- Maximum Entropy Inverse Reinforcement Learning
Brian D. Ziebart, Andrew Maas, J. Andrew (Drew) Bagnell, and Anind Dey
Proceeding of AAAI 2008, July, 2008.
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- Human Behavior Modeling with Maximum Entropy Inverse Optimal Control
Brian D. Ziebart, Andrew L. Maas, J. Andrew (Drew) Bagnell, and Anind Dey
April, 2008.
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- Navigate Like a Cabbie: Probabilistic Reasoning from Observed Context-Aware Behavior
Brian D. Ziebart, Andrew Maas, Anind Dey, and J. Andrew (Drew) Bagnell
UBICOMP: Ubiquitious Computation, 2008.
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pdf (692KB) | Copyrighted
- Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification
Brian D. Ziebart, Anind Dey, and J. Andrew (Drew) Bagnell
Proceedings of Uncertainty in Artificial Intelligence (UAI 2007), July, 2007.
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pdf (340KB) | Copyrighted
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