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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

B. Zitkovich, T. Yu, S. Xu, P. Xu, T. Xiao, F. Xia, J. Wu, P. Wohlhart, S. Welker, A. Wahid, Q. Vuong, V. Vanhoucke, H. Tran, R. Soricut, A. Singh, J. Singh, P. Sermanet, P. Sanketi, G. Salazar, M. Ryoo, K. Reymann, K. Rao, K. Pertsch, I. Mordatch, H. Michalewski, Y. Lu, S. Levine, L. Lee, T. Lee, I. Leal, Y. Kuang, D. Kalashnikov, R. Julian, N. Joshi, A. Irpan, B. Ichter, J. Hsu, A. Herzog, K. Hausman, K. Gopalakrishnan, C. Fu, P. Florence, C. Finn, K. Dubey, D. Driess, T. Ding, K. Choromanski, X. Chen, Y. Chebotar, J. Carbajal, N. Brown, A. Brohan, M. Arenas, and K. Han. CoRL, volume 229 of Proceedings of Machine Learning Research, page 2165-2183. PMLR, (2023)

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Yevgen Grynko

Yevgen Bogodistov

Yevgen Shumeyko

Yevgen Sklyarenko

Yevgen Yefimenko

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RT-1: Robotics Transformer for Real-World Control at Scale.A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu and 41 other author(s). Robotics: Science and Systems, (2023)Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition.Y. Chebotar, and A. Waters. INTERSPEECH, page 3439-3443. ISCA, (2016)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)Learning Latent Space Dynamics for Tactile Servoing.G. Sutanto, N. Ratliff, B. Sundaralingam, Y. Chebotar, Z. Su, A. Handa, and D. Fox. ICRA, page 3622-3628. IEEE, (2019)AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.Y. Lu, K. Hausman, Y. Chebotar, M. Yan, E. Jang, A. Herzog, T. Xiao, A. Irpan, M. Khansari, D. Kalashnikov and 1 other author(s). CoRL, volume 164 of Proceedings of Machine Learning Research, page 1078-1088. PMLR, (2021)Scaling Up Multi-Task Robotic Reinforcement Learning.D. Kalashnikov, J. Varley, Y. Chebotar, B. Swanson, R. Jonschkowski, C. Finn, S. Levine, and K. Hausman. CoRL, volume 164 of Proceedings of Machine Learning Research, page 557-575. PMLR, (2021)Time-Contrastive Networks: Self-Supervised Learning from Video.P. Sermanet, C. Lynch, Y. Chebotar, J. Hsu, E. Jang, S. Schaal, and S. Levine. ICRA, page 1134-1141. IEEE, (2018)Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience.Y. Chebotar, A. Handa, V. Makoviychuk, M. Macklin, J. Issac, N. Ratliff, and D. Fox. ICRA, page 8973-8979. IEEE, (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)RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.B. Zitkovich, T. Yu, S. Xu, P. Xu, T. Xiao, F. Xia, J. Wu, P. Wohlhart, S. Welker, A. Wahid and 44 other author(s). CoRL, volume 229 of Proceedings of Machine Learning Research, page 2165-2183. PMLR, (2023)

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Disambiguation of "Chebotar, Yevgen"

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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Please choose a person to relate this publication to

Yevgen Grynko

Yevgen Bogodistov

Yevgen Shumeyko

Yevgen Sklyarenko

Yevgen Yefimenko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chebotar, Yevgen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Please choose a person to relate this publication to

Yevgen Grynko

Yevgen Bogodistov

Yevgen Shumeyko

Yevgen Sklyarenko

Yevgen Yefimenko

Other publications of authors with the same name

Disambiguation

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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.