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

Diversity is All You Need: Learning Skills without a Reward Function.

B. Eysenbach, A. Gupta, J. Ibarz, and S. Levine. (2018)

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.

Gemma Ibarz-Ric

Other publications of authors with the same name

Token Turing Machines.M. Ryoo, K. Gopalakrishnan, K. Kahatapitiya, T. Xiao, K. Rao, A. Stone, Y. Lu, J. Ibarz, and A. Arnab. CoRR, (2022)Large Scale Scene Text Verification with Guided Attention.D. He, Y. Li, A. Gorban, D. Heath, J. Ibarz, Q. Yu, D. Kifer, and C. Giles. ACCV (5), volume 11365 of Lecture Notes in Computer Science, page 260-275. Springer, (2018)Diversity is All You Need: Learning Skills without a Reward Function.B. Eysenbach, A. Gupta, J. Ibarz, and S. Levine. ICLR (Poster), OpenReview.net, (2019)Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.Y. Chebotar, Q. Vuong, K. Hausman, F. Xia, Y. Lu, A. Irpan, A. Kumar, T. Yu, A. Herzog, K. Pertsch and 15 other author(s). CoRL, volume 229 of Proceedings of Machine Learning Research, page 3909-3928. PMLR, (2023)Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.D. Quillen, E. Jang, O. Nachum, C. Finn, J. Ibarz, and S. Levine. ICRA, page 6284-6291. IEEE, (2018)Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural NetworksI. Goodfellow, Y. Bulatov, J. Ibarz, S. Arnoud, V. Shet, and C. Google Inc., Mountain View. (2013)Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.T. Xiao, E. Jang, D. Kalashnikov, S. Levine, J. Ibarz, K. Hausman, and A. Herzog. ICLR, OpenReview.net, (2020)MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.M. Luo, A. Balakrishna, B. Thananjeyan, S. Nair, J. Ibarz, J. Tan, C. Finn, I. Stoica, and K. Goldberg. CoRR, (2021)QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke and 1 other author(s). CoRR, (2018)Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning.B. Eysenbach, S. Gu, J. Ibarz, and S. Levine. CoRR, (2017)

BibSonomy

Disambiguation of "Ibarz, Julian"

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

Diversity is All You Need: Learning Skills without a Reward Function.

Please choose a person to relate this publication to

Gemma Ibarz-Ric

Julian Gonska

Julian Grapengiesser

Julian Künzel

Julian Horst

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ibarz, Julian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Diversity is All You Need: Learning Skills without a Reward Function.

Please choose a person to relate this publication to

Gemma Ibarz-Ric

Julian Gonska

Julian Grapengiesser

Julian Künzel

Julian Horst

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

Diversity is All You Need: Learning Skills without a Reward Function.