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Offline Regularised Reinforcement Learning for Large Language Models Alignment

P. Richemond, Y. Tang, D. Guo, D. Calandriello, M. Azar, R. Rafailov, B. Pires, E. Tarassov, L. Spangher, W. Ellsworth, A. Severyn, J. Mallinson, L. Shani, G. Shamir, R. Joshi, T. Liu, R. Munos, and B. Piot. (May 2024)

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Azar Djalali

Azar Ahanchi

Kamal Azar

Azar Nithammer

Azar Shahidizenouz

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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement LearningA. Gruslys, W. Dabney, M. Azar, B. Piot, M. Bellemare, and R. Munos. ICLR, (2017)cite arxiv:1704.04651.Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes.M. Azar, E. Dyer, and K. Körding. UAI, AUAI Press, (2016)Rainbow: Combining Improvements in Deep Reinforcement Learning.M. Hessel, J. Modayil, H. van Hasselt, T. Schaul, G. Ostrovski, W. Dabney, D. Horgan, B. Piot, M. Azar, and D. Silver. AAAI, page 3215-3222. AAAI Press, (2018)Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.T. Kitamura, T. Kozuno, Y. Tang, N. Vieillard, M. Valko, W. Yang, J. Mei, P. Ménard, M. Azar, R. Munos and 5 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 17135-17175. PMLR, (2023)Averaging log-likelihoods in direct alignment.N. Grinsztajn, Y. Flet-Berliac, M. Azar, F. Strub, B. Wu, E. Choi, C. Cremer, A. Ahmadian, Y. Chandak, O. Pietquin and 1 other author(s). CoRR, (2024)Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.Y. Flet-Berliac, N. Grinsztajn, F. Strub, E. Choi, C. Cremer, A. Ahmadian, Y. Chandak, M. Azar, O. Pietquin, and M. Geist. CoRR, (2024)Neural Predictive Belief Representations.Z. Guo, M. Azar, B. Piot, B. Pires, T. Pohlen, and R. Munos. CoRR, (2018)Meta-learning of Sequential Strategies.P. Ortega, J. Wang, M. Rowland, T. Genewein, Z. Kurth-Nelson, R. Pascanu, N. Heess, J. Veness, A. Pritzel, P. Sprechmann and 14 other author(s). CoRR, (2019)Fast computation of Nash Equilibria in Imperfect Information Games.R. Munos, J. Pérolat, J. Lespiau, M. Rowland, B. Vylder, M. Lanctot, F. Timbers, D. Hennes, S. Omidshafiei, A. Gruslys and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7119-7129. PMLR, (2020)Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning.Z. Guo, B. Pires, B. Piot, J. Grill, F. Altché, R. Munos, and M. Azar. ICML, volume 119 of Proceedings of Machine Learning Research, page 3875-3886. PMLR, (2020)

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Disambiguation of "Azar, Mohammad Gheshlaghi"

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Offline Regularised Reinforcement Learning for Large Language Models Alignment

Please choose a person to relate this publication to

Azar Djalali

Azar Ahanchi

Kamal Azar

Azar Nithammer

Azar Shahidizenouz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Azar, Mohammad Gheshlaghi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Offline Regularised Reinforcement Learning for Large Language Models Alignment

Please choose a person to relate this publication to

Azar Djalali

Azar Ahanchi

Kamal Azar

Azar Nithammer

Azar Shahidizenouz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Offline Regularised Reinforcement Learning for Large Language Models Alignment