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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.

M. Laurière, S. Perrin, S. Girgin, P. Muller, A. Jain, T. Cabannes, G. Piliouras, J. Pérolat, R. Elie, O. Pietquin, and M. Geist. ICML, volume 162 of Proceedings of Machine Learning Research, page 12078-12095. PMLR, (2022)

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Veli Girgin

Natalie Keto-Girgin

Other publications of authors with the same name

Basis Expansion in Natural Actor Critic Methods.S. Girgin, and P. Preux. EWRL, volume 5323 of Lecture Notes in Computer Science, page 110-123. Springer, (2008)Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision.E. Kharitonov, D. Vincent, Z. Borsos, R. Marinier, S. Girgin, O. Pietquin, M. Sharifi, M. Tagliasacchi, and N. Zeghidour. CoRR, (2023)Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach.T. Cabannes, M. Laurière, J. Pérolat, R. Marinier, S. Girgin, S. Perrin, O. Pietquin, A. Bayen, E. Goubault, and R. Elie. AAMAS, page 1557-1559. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.A. Botev, S. De, S. Smith, A. Fernando, G. Muraru, R. Haroun, L. Berrada, R. Pascanu, P. Sessa, R. Dadashi and 52 other author(s). CoRR, (2024)WARP: On the Benefits of Weight Averaged Rewarded Policies.A. Ramé, J. Ferret, N. Vieillard, R. Dadashi, L. Hussenot, P. Cedoz, P. Sessa, S. Girgin, A. Douillard, and O. Bachem. CoRR, (2024)What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study.M. Andrychowicz, A. Raichuk, P. Stanczyk, M. Orsini, S. Girgin, R. Marinier, L. Hussenot, M. Geist, O. Pietquin, M. Michalski and 2 other author(s). ICLR, OpenReview.net, (2021)Decoding a Neural Retriever's Latent Space for Query Suggestion.L. Adolphs, M. Huebscher, C. Buck, S. Girgin, O. Bachem, M. Ciaramita, and T. Hofmann. EMNLP, page 8786-8804. Association for Computational Linguistics, (2022)MusicRL: Aligning Music Generation to Human Preferences.G. Cideron, S. Girgin, M. Verzetti, D. Vincent, M. Kastelic, Z. Borsos, B. McWilliams, V. Ungureanu, O. Bachem, O. Pietquin and 4 other author(s). ICML, OpenReview.net, (2024)State Similarity Based Approach for Improving Performance in RL.S. Girgin, F. Polat, and R. Alhajj. IJCAI, page 817-822. (2007)Learning by Automatic Option Discovery from Conditionally Terminating Sequences.S. Girgin, F. Polat, and R. Alhajj. ECAI, volume 141 of Frontiers in Artificial Intelligence and Applications, page 494-498. IOS Press, (2006)

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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.

Please choose a person to relate this publication to

Veli Girgin

Natalie Keto-Girgin

Other publications of authors with the same name

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Disambiguation of "Girgin, Sertan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.

Please choose a person to relate this publication to

Veli Girgin

Natalie Keto-Girgin

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
DIN 1505
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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.