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

Unsupervised State Representation Learning in Atari.

A. Anand, E. Racah, S. Ozair, Y. Bengio, M. Côté, and R. Hjelm. NeurIPS, page 8766-8779. (2019)

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.

Davinder Kumar Anand

Madhankumar Anandhakrishnan

Amar Frank Anand

Anand Raghavachar

Anand Roy

Other publications of authors with the same name

HoME: a Household Multimodal Environment.S. Brodeur, E. Perez, A. Anand, F. Golemo, L. Celotti, F. Strub, J. Rouat, H. Larochelle, and A. Courville. ICLR (Workshop), OpenReview.net, (2018)Many-Shot In-Context Learning.R. Agarwal, A. Singh, L. Zhang, B. Bohnet, S. Chan, A. Anand, Z. Abbas, A. Nova, J. Co-Reyes, E. Chu and 3 other author(s). CoRR, (2024)Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.M. Reid, N. Savinov, D. Teplyashin, D. Lepikhin, T. Lillicrap, J. Alayrac, R. Soricut, A. Lazaridou, O. Firat, J. Schrittwieser and 43 other author(s). CoRR, (2024)MMGAN: Manifold-Matching Generative Adversarial Networks.N. Park, A. Anand, J. Moniz, K. Lee, J. Choo, D. Park, T. Chakraborty, H. Park, and Y. Kim. ICPR, page 1343-1348. IEEE Computer Society, (2018)Pretraining Representations for Data-Efficient Reinforcement Learning.M. Schwarzer, N. Rajkumar, M. Noukhovitch, A. Anand, L. Charlin, R. Hjelm, P. Bachman, and A. Courville. NeurIPS, page 12686-12699. (2021)Blindfold Baselines for Embodied QA.A. Anand, E. Belilovsky, K. Kastner, H. Larochelle, and A. Courville. CoRR, (2018)Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks.A. Anand, K. Gorde, J. Moniz, N. Park, T. Chakraborty, and B. Chu. IEEE BigData, page 1168-1177. IEEE, (2018)Unsupervised State Representation Learning in Atari.A. Anand, E. Racah, S. Ozair, Y. Bengio, M. Côté, and R. Hjelm. NeurIPS, page 8766-8779. (2019)Data-Efficient Reinforcement Learning with Self-Predictive Representations.M. Schwarzer, A. Anand, R. Goel, R. Hjelm, A. Courville, and P. Bachman. ICLR, OpenReview.net, (2021)MMGAN: Manifold Matching Generative Adversarial NetworkN. Park, A. Anand, J. Moniz, K. Lee, T. Chakraborty, J. Choo, H. Park, and Y. Kim. (2017)cite arxiv:1707.08273Comment: the 24th International Conference on Pattern Recognition (ICPR), 2018.

BibSonomy

Disambiguation of "Anand, Ankesh"

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

Unsupervised State Representation Learning in Atari.

Please choose a person to relate this publication to

Davinder Kumar Anand

Madhankumar Anandhakrishnan

Amar Frank Anand

Anand Raghavachar

Anand Roy

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Anand, Ankesh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised State Representation Learning in Atari.

Please choose a person to relate this publication to

Davinder Kumar Anand

Madhankumar Anandhakrishnan

Amar Frank Anand

Anand Raghavachar

Anand Roy

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

Unsupervised State Representation Learning in Atari.