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Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

A. Singh, J. Co-Reyes, R. Agarwal, A. Anand, P. Patil, X. Garcia, P. Liu, J. Harrison, J. Lee, K. Xu, A. Parisi, A. Kumar, A. Alemi, A. Rizkowsky, A. Nova, B. Adlam, B. Bohnet, G. Elsayed, H. Sedghi, I. Mordatch, I. Simpson, I. Gur, J. Snoek, J. Pennington, J. Hron, K. Kenealy, K. Swersky, K. Mahajan, L. Culp, L. Xiao, M. Bileschi, N. Constant, R. Novak, R. Liu, T. Warkentin, Y. Qian, Y. Bansal, E. Dyer, B. Neyshabur, J. Sohl-Dickstein, and N. Fiedel. CoRR, (2023)

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Rishabh Singh

Seema Agarwal

Suman Agarwal

Swarna Agarwal

Jugalkishor Agarwal

Other publications of authors with the same name

Learning to Generalize from Sparse and Underspecified Rewards.R. Agarwal, C. Liang, D. Schuurmans, and M. Norouzi. ICML, volume 97 of Proceedings of Machine Learning Research, page 130-140. PMLR, (2019)Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes.A. Kumar, R. Agarwal, X. Geng, G. Tucker, and S. Levine. CoRR, (2022)Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.J. Farebrother, J. Orbay, Q. Vuong, A. Taïga, Y. Chebotar, T. Xiao, A. Irpan, S. Levine, P. Castro, A. Faust and 2 other author(s). CoRR, (2024)Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.E. Nikishin, R. Abachi, R. Agarwal, and P. Bacon. CoRR, (2021)DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization.A. Kumar, R. Agarwal, T. Ma, A. Courville, G. Tucker, and S. Levine. CoRR, (2021)V-STaR: Training Verifiers for Self-Taught Reasoners.A. Hosseini, X. Yuan, N. Malkin, A. Courville, A. Sordoni, and R. Agarwal. CoRR, (2024)Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress.R. Agarwal, M. Schwarzer, P. Castro, A. Courville, and M. Bellemare. NeurIPS, (2022)RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.Ç. Gülçehre, Z. Wang, A. Novikov, T. Paine, S. Colmenarejo, K. Zolna, R. Agarwal, J. Merel, D. Mankowitz, C. Paduraru and 6 other author(s). NeurIPS, (2020)Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes.A. Kumar, R. Agarwal, X. Geng, G. Tucker, and S. Levine. ICLR, OpenReview.net, (2023)On the Generalization of Representations in Reinforcement Learning.C. Lan, S. Tu, A. Oberman, R. Agarwal, and M. Bellemare. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4132-4157. PMLR, (2022)

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Disambiguation of "Agarwal, Rishabh"

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Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Please choose a person to relate this publication to

Rishabh Singh

Seema Agarwal

Suman Agarwal

Swarna Agarwal

Jugalkishor Agarwal

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Agarwal, Rishabh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Please choose a person to relate this publication to

Rishabh Singh

Seema Agarwal

Suman Agarwal

Swarna Agarwal

Jugalkishor Agarwal

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
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Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.