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Inverse Reinforcement Learning without Reinforcement Learning.

G. Swamy, D. Wu, S. Choudhury, D. Bagnell, and Z. Wu. ICML, volume 202 of Proceedings of Machine Learning Research, page 33299-33318. PMLR, (2023)

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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)

Ellen Drews

Other publications of authors with the same name

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)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)Hybrid Inverse Reinforcement Learning.J. Ren, G. Swamy, S. Wu, D. Bagnell, and S. Choudhury. ICML, OpenReview.net, (2024)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)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)Autonomous helicopter control using reinforcement learning policy search methodsD. Bagnell, and J. Schneider. Internatinal Conference on Robotics and Automation, (2001)Agnostic System Identification for Model-Based Reinforcement Learning.S. Ross, and D. Bagnell. ICML, icml.cc / Omnipress, (2012)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)

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Disambiguation of "Bagnell, Drew"

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Inverse Reinforcement Learning without Reinforcement Learning.

Please choose a person to relate this publication to

Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Ellen 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 Inverse Reinforcement Learning without Reinforcement Learning.

Please choose a person to relate this publication to

Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Ellen Drews

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Inverse Reinforcement Learning without Reinforcement Learning.