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

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.

E. Parisotto, and R. Salakhutdinov. ICLR, OpenReview.net, (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.

Daniel Parisotto

Emilio Voigt

Emilio Francesquini

Emilio Vallina

Emilio Serra

Other publications of authors with the same name

Neuro-Symbolic Program Synthesis.E. Parisotto, A. rahman Mohamed, R. Singh, L. Li, D. Zhou, and P. Kohli. ICLR (Poster), OpenReview.net, (2017)Gated Path Planning Networks.L. Lee, E. Parisotto, D. Chaplot, E. Xing, and R. Salakhutdinov. ICML, volume 80 of Proceedings of Machine Learning Research, page 2953-2961. PMLR, (2018)Global Pose Estimation With an Attention-Based Recurrent Network.E. Parisotto, D. Chaplot, J. Zhang, and R. Salakhutdinov. CVPR Workshops, page 237-246. Computer Vision Foundation / IEEE Computer Society, (2018)EEG dimensionality reduction in automatic identification of synonymy.E. Parisotto, Y. Ghassabeh, S. Freydoonnejad, and F. Rudzicz. ICASSP, page 847-851. IEEE, (2015)Neural Map: Structured Memory for Deep Reinforcement Learning.E. Parisotto, and R. Salakhutdinov. ICLR (Poster), OpenReview.net, (2018)A Generalist Agent.S. Reed, K. Zolna, E. Parisotto, S. Colmenarejo, A. Novikov, G. Barth-Maron, M. Gimenez, Y. Sulsky, J. Kay, J. Springenberg and 10 other author(s). CoRR, (2022)RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.K. Bousmalis, G. Vezzani, D. Rao, C. Devin, A. Lee, M. Bauzá, T. Davchev, Y. Zhou, A. Gupta, A. Raju and 29 other author(s). CoRR, (2023)Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.E. Parisotto, and R. Salakhutdinov. ICLR, OpenReview.net, (2021)On Proximal Policy Optimization's Heavy-tailed Gradients.S. Garg, J. Zhanson, E. Parisotto, A. Prasad, J. Kolter, Z. Lipton, S. Balakrishnan, R. Salakhutdinov, and P. Ravikumar. ICML, volume 139 of Proceedings of Machine Learning Research, page 3610-3619. PMLR, (2021)Shaking the foundations: delusions in sequence models for interaction and control.P. Ortega, M. Kunesch, G. Delétang, T. Genewein, J. Grau-Moya, J. Veness, J. Buchli, J. Degrave, B. Piot, J. Pérolat and 9 other author(s). CoRR, (2021)

BibSonomy

Disambiguation of "Parisotto, Emilio"

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

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.

Please choose a person to relate this publication to

Daniel Parisotto

Emilio Voigt

Emilio Francesquini

Emilio Vallina

Emilio Serra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Parisotto, Emilio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.

Please choose a person to relate this publication to

Daniel Parisotto

Emilio Voigt

Emilio Francesquini

Emilio Vallina

Emilio Serra

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

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.