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Near Optimal Bayesian Active Learning for Decision Making.

S. Javdani, Y. Chen, A. Karbasi, A. Krause, D. Bagnell, and S. Srinivasa. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 430-438. JMLR.org, (2014)

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Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Immunhistochemische Lokalisation Apoptose-assoziierter Proteine in gesunder Haut und bei Patienten mit chronischer venöser InsuffizienzA. Drewes. Uni Greifswald, (2009)

Christiane Drews

Other publications of authors with the same name

A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation.J. Zhou, M. Mason, R. Paolini, and D. Bagnell. Int. J. Robotics Res., 37 (2-3): 249-265 (2018)Maximum Causal Entropy Correlated Equilibria for Markov Games.B. Ziebart, D. Bagnell, and A. Dey. Interactive Decision Theory and Game Theory, volume WS-10-03 of AAAI Technical Report, AAAI, (2010)Causal Imitation Learning under Temporally Correlated Noise.G. Swamy, S. Choudhury, D. Bagnell, and S. Wu. ICML, volume 162 of Proceedings of Machine Learning Research, page 20877-20890. PMLR, (2022)Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation.D. Katz, A. Venkatraman, M. Kazemi, D. Bagnell, and A. Stentz. Robotics: Science and Systems, (2013)A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.S. Ross, G. Gordon, and D. Bagnell. AISTATS, volume 15 of JMLR Proceedings, page 627-635. JMLR.org, (2011)Autonomous helicopter control using reinforcement learning policy search methodsD. Bagnell, and J. Schneider. Internatinal Conference on Robotics and Automation, (2001)The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms.A. Vemula, Y. Song, A. Singh, D. Bagnell, and S. Choudhury. ICML, volume 202 of Proceedings of Machine Learning Research, page 34978-35005. PMLR, (2023)Provably Efficient Imitation Learning from Observation Alone.W. Sun, A. Vemula, B. Boots, and D. Bagnell. ICML, volume 97 of Proceedings of Machine Learning Research, page 6036-6045. PMLR, (2019)Near Optimal Bayesian Active Learning for Decision Making.S. Javdani, Y. Chen, A. Karbasi, A. Krause, D. Bagnell, and S. Srinivasa. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 430-438. JMLR.org, (2014)Hybrid RL: Using both offline and online data can make RL efficient.Y. Song, Y. Zhou, A. Sekhari, D. Bagnell, A. Krishnamurthy, and W. Sun. ICLR, OpenReview.net, (2023)

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Disambiguation of "Bagnell, Drew"

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Near Optimal Bayesian Active Learning for Decision Making.

Please choose a person to relate this publication to

Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Christiane Drews

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bagnell, Drew"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Near Optimal Bayesian Active Learning for Decision Making.

Please choose a person to relate this publication to

Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Christiane Drews

Other publications of authors with the same name

Disambiguation

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URL
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Chicago
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Near Optimal Bayesian Active Learning for Decision Making.