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

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)

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.

No persons found for author name Kalakrishnan, Mrinal

add a person with the name Kalakrishnan, Mrinal

Other publications of authors with the same name

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)Learning motion primitive goals for robust manipulation.F. Stulp, E. Theodorou, M. Kalakrishnan, P. Pastor, L. Righetti, and S. Schaal. IROS, page 325-331. IEEE, (2011)Collective robot reinforcement learning with distributed asynchronous guided policy search.A. Yahya, A. Li, M. Kalakrishnan, Y. Chebotar, and S. Levine. IROS, page 79-86. IEEE, (2017)From dynamic movement primitives to associative skill memories.P. Pastor, M. Kalakrishnan, F. Meier, F. Stulp, J. Buchli, E. Theodorou, and S. Schaal. Robotics Auton. Syst., 61 (4): 351-361 (2013)Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.A. Zhou, E. Jang, D. Kappler, A. Herzog, M. Khansari, P. Wohlhart, Y. Bai, M. Kalakrishnan, S. Levine, and C. Finn. CoRR, (2019)Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.S. Suresh, H. Qi, T. Wu, T. Fan, L. Pineda, M. Lambeta, J. Malik, M. Kalakrishnan, R. Calandra, M. Kaess and 2 other author(s). CoRR, (2023)How to train your robot with deep reinforcement learning: lessons we have learned.J. Ibarz, J. Tan, C. Finn, M. Kalakrishnan, P. Pastor, and S. Levine. Int. J. Robotics Res., (2021)Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.S. James, P. Wohlhart, M. Kalakrishnan, D. Kalashnikov, A. Irpan, J. Ibarz, S. Levine, R. Hadsell, and K. Bousmalis. CVPR, page 12627-12637. Computer Vision Foundation / IEEE, (2019)An Integrative Network Approach to Map the Transcriptome to the Phenome.M. Mehan, J. Nunez-Iglesias, M. Kalakrishnan, M. Waterman, and X. Zhou. RECOMB, volume 4955 of Lecture Notes in Computer Science, page 232-245. Springer, (2008)Compliant quadruped locomotion over rough terrain.J. Buchli, M. Kalakrishnan, M. Mistry, P. Pastor, and S. Schaal. IROS, page 814-820. IEEE, (2009)

BibSonomy

Disambiguation of "Kalakrishnan, Mrinal"

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

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

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kalakrishnan, Mrinal"

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

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

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