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Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

A. Zhou, E. Jang, D. Kappler, A. Herzog, M. Khansari, P. Wohlhart, Y. Bai, M. Kalakrishnan, S. Levine, and C. Finn. ICLR, OpenReview.net, (2020)

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Liem Khiem Jang

Tae-Seok Jang

Saeed Jangani

Eun-Ju Jang

Hee-Kwon Jang

Other publications of authors with the same name

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)Categorical Reparameterization with Gumbel-Softmax.E. Jang, S. Gu, and B. Poole. CoRR, (2016)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)Generative Ensembles for Robust Anomaly Detection.H. Choi, and E. Jang. CoRR, (2018)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)Practical Imitation Learning in the Real World via Task Consistency Loss.M. Khansari, D. Ho, Y. Du, A. Fuentes, M. Bennice, N. Sievers, S. Kirmani, Y. Bai, and E. Jang. CoRR, (2022)Bayesian Imitation Learning for End-to-End Mobile Manipulation.Y. Du, D. Ho, A. Alemi, E. Jang, and M. Khansari. ICML, volume 162 of Proceedings of Machine Learning Research, page 5531-5546. PMLR, (2022)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.A. Zhou, E. Jang, D. Kappler, A. Herzog, M. Khansari, P. Wohlhart, Y. Bai, M. Kalakrishnan, S. Levine, and C. Finn. ICLR, OpenReview.net, (2020)Big Genomes Facilitate the Comparative Identification of Regulatory ElementsB. Peterson, E. Hare, V. Iyer, S. Storage, L. Conner, D. Papaj, R. Kurashima, E. Jang, and M. Eisen. PLoS ONE, 4 (3): e4688 (March 2009)BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn. CoRR, (2022)

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Disambiguation of "Jang, Eric"

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Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

Please choose a person to relate this publication to

Liem Khiem Jang

Tae-Seok Jang

Saeed Jangani

Eun-Ju Jang

Hee-Kwon Jang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jang, Eric"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

Please choose a person to relate this publication to

Liem Khiem Jang

Tae-Seok Jang

Saeed Jangani

Eun-Ju Jang

Hee-Kwon Jang

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
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APA
Chicago
DIN 1505
Harvard
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Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.