Year |
Citation |
Score |
2015 |
Shin C, Ziebart B, Dey AK. Serendipity-empowered path planning for predictive task completion Journal of Ambient Intelligence and Smart Environments. 7: 605-616. DOI: 10.3233/Ais-150337 |
0.523 |
|
2015 |
Wang J, Bansal M, Gimpel K, Ziebart BD, Yu CT. A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment Transactions of the Association For Computational Linguistics. 3: 59-71. DOI: 10.1162/Tacl_A_00122 |
0.337 |
|
2015 |
Chen X, Ziebart BD. Predictive inverse optimal control for linear-quadratic-Gaussian systems Journal of Machine Learning Research. 38: 165-173. |
0.326 |
|
2015 |
Monfort M, Lake BM, Ziebart BD, Lucey P, Tenenbaum JB. Softstar: Heuristic-guided probabilistic inference Advances in Neural Information Processing Systems. 2015: 2764-2772. |
0.35 |
|
2015 |
Monfort M, Liu A, Ziebart BD. Intent prediction and trajectory forecasting via Predictive inverse linear-quadratic regulation Proceedings of the National Conference On Artificial Intelligence. 5: 3672-3678. |
0.327 |
|
2013 |
Koehler C, Ziebart BD, Mankoff J, Dey AK. TherML: Occupancy prediction for thermostat control Ubicomp 2013 - Proceedings of the 2013 Acm International Joint Conference On Pervasive and Ubiquitous Computing. 103-112. DOI: 10.1145/2493432.2493441 |
0.463 |
|
2013 |
Ziebart BD, Bagnell JA, Dey AK. The principle of maximum causal entropy for estimating interacting processes Ieee Transactions On Information Theory. 59: 1966-1980. DOI: 10.1109/Tit.2012.2234824 |
0.671 |
|
2012 |
Ziebart BD, Dey AK, Bagnell JA. Probabilistic pointing target prediction via inverse optimal control International Conference On Intelligent User Interfaces, Proceedings Iui. 1-10. DOI: 10.1145/2166966.2166968 |
0.631 |
|
2012 |
Kitani KM, Ziebart BD, Bagnell JA, Hebert M. Activity forecasting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7575: 201-214. DOI: 10.1007/978-3-642-33765-9_15 |
0.703 |
|
2011 |
Davidoff S, Ziebart BD, Zimmerman J, Dey AK. Learning patterns of pick-ups and drop-offs to support busy family coordination Conference On Human Factors in Computing Systems - Proceedings. 1175-1184. DOI: 10.1145/1978942.1979119 |
0.429 |
|
2011 |
Ziebart BD. Factorized decision forecasting via combining value-based and reward-based estimation 2011 49th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2011. 966-973. DOI: 10.1109/Allerton.2011.6120271 |
0.34 |
|
2011 |
Waugh K, Ziebart BD, Bagnell JA. Computational rationalization: The inverse equilibrium problem Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1169-1176. |
0.63 |
|
2010 |
Ziebart BD, Bagnell JA, Dey AK. Modeling interaction via the principle of maximum causal entropy Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 1255-1262. |
0.65 |
|
2010 |
Ziebart BD, Bagnell JA, Dey AK. Maximum causal entropy correlated equilibria for Markov games Aaai Workshop - Technical Report. 74-80. |
0.606 |
|
2009 |
Ziebart BD, Ratliff N, Gallagher G, Mertz C, Peterson K, Bagnell JA, Hebert M, Dey AK, Srinivasa S. Planning-based prediction for pedestrians 2009 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros 2009. 3931-3936. DOI: 10.1109/IROS.2009.5354147 |
0.666 |
|
2009 |
Ziebart BD, Maas A, Bagnell JA, Dey AK. Human behavior modeling with maximum entropy inverse optimal control Aaai Spring Symposium - Technical Report. 92-97. |
0.631 |
|
2008 |
Ziebart BD, Maas AL, Dey AK, Bagnell JA. Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior Ubicomp 2008 - Proceedings of the 10th International Conference On Ubiquitous Computing. 322-331. DOI: 10.1145/1409635.1409678 |
0.664 |
|
2008 |
Ziebart BD, Dey AK, Bagnell JA. Fast planning for dynamic preferences Icaps 2008 - Proceedings of the 18th International Conference On Automated Planning and Scheduling. 412-419. |
0.588 |
|
2008 |
Ziebart BD, Maas A, Bagnell JA, Dey AK. Maximum entropy inverse reinforcement learning Proceedings of the National Conference On Artificial Intelligence. 3: 1433-1438. |
0.644 |
|
2007 |
Ziebart BD, Dey AK, Bagnell JA. Learning selectively conditioned forest structures with applications to DBNs and classification Proceedings of the 23rd Conference On Uncertainty in Artificial Intelligence, Uai 2007. 458-465. |
0.562 |
|
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