Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Empirical Investigation of Representation Learning for Imitation.

C. Chen, X. Chen, S. Toyer, C. Wild, S. Emmons, I. Fischer, K. Lee, N. Alex, S. Wang, P. Luo, S. Russell, P. Abbeel, and R. Shah. NeurIPS Datasets and Benchmarks, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Felix Markus Hubertus Scotti

Vanessa Andrea Scott

Other publications of authors with the same name

For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria.S. Emmons, C. Oesterheld, A. Critch, V. Conitzer, and S. Russell. ICML, volume 162 of Proceedings of Machine Learning Research, page 5924-5943. PMLR, (2022)When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?R. Schaeffer, D. Valentine, L. Bailey, J. Chua, C. Eyzaguirre, Z. Durante, J. Benton, B. Miranda, H. Sleight, J. Hughes and 5 other author(s). CoRR, (2024)Global Redundancy Resolution via Continuous Pseudoinversion of the Forward Kinematic Map.K. Hauser, and S. Emmons. IEEE Trans Autom. Sci. Eng., 15 (3): 932-944 (2018)RvS: What is Essential for Offline RL via Supervised Learning?S. Emmons, B. Eysenbach, I. Kostrikov, and S. Levine. ICLR, OpenReview.net, (2022)An Empirical Investigation of Representation Learning for Imitation.C. Chen, X. Chen, S. Toyer, C. Wild, S. Emmons, I. Fischer, K. Lee, N. Alex, S. Wang, P. Luo and 3 other author(s). NeurIPS Datasets and Benchmarks, (2021)Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark.A. Pan, J. Chan, A. Zou, N. Li, S. Basart, T. Woodside, H. Zhang, S. Emmons, and D. Hendrycks. ICML, volume 202 of Proceedings of Machine Learning Research, page 26837-26867. PMLR, (2023)Sparse Graphical Memory for Robust Planning.S. Emmons, A. Jain, M. Laskin, T. Kurutach, P. Abbeel, and D. Pathak. NeurIPS, (2020)Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale.S. Emmons, S. Kobourov, M. Gallant, and K. Börner. CoRR, (2016)A Map Equation with Metadata: Varying the Role of Attributes in Community Detection.S. Emmons, and P. Mucha. CoRR, (2018)Image Hijacks: Adversarial Images can Control Generative Models at Runtime.L. Bailey, E. Ong, S. Russell, and S. Emmons. ICML, OpenReview.net, (2024)

BibSonomy

Disambiguation of "Emmons, Scott"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Empirical Investigation of Representation Learning for Imitation.

Please choose a person to relate this publication to

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Felix Markus Hubertus Scotti

Vanessa Andrea Scott

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Emmons, Scott"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Empirical Investigation of Representation Learning for Imitation.

Please choose a person to relate this publication to

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Felix Markus Hubertus Scotti

Vanessa Andrea Scott

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Empirical Investigation of Representation Learning for Imitation.