Sertan Girgin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Top Venues

Publications

Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem
WARP: On the Benefits of Weight Averaged Rewarded Policies. CoRR (2024)
Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR (2024)
Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem
BOND: Aligning LLMs with Best-of-N Distillation. CoRR (2024)
Geoffrey Cideron, Sertan Girgin, Mauro Verzetti, Damien Vincent, Matej Kastelic, Zalán Borsos, Brian McWilliams, Victor Ungureanu, Olivier Bachem, Olivier Pietquin, Matthieu Geist, Léonard Hussenot, Neil Zeghidour, Andrea Agostinelli
MusicRL: Aligning Music Generation to Human Preferences. CoRR (2024)
Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot
Nash Learning from Human Feedback. CoRR (2023)
Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi
Get Back Here: Robust Imitation by Return-to-Distribution Planning. CoRR (2023)
Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matthew Sharifi, Marco Tagliasacchi, Neil Zeghidour
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. CoRR (2023)
Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matt Sharifi, Marco Tagliasacchi, Neil Zeghidour
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. Trans. Assoc. Comput. Linguistics 11 (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) (2023)
Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
Decoding a Neural Retriever's Latent Space for Query Suggestion. EMNLP (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR (2022)
Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
Decoding a Neural Retriever's Latent Space for Query Suggestion. CoRR (2022)
Geoffrey Cideron, Sertan Girgin, Anton Raichuk, Olivier Pietquin, Olivier Bachem, Léonard Hussenot
vec2text with Round-Trip Translations. CoRR (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML (2022)
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
Continuous Control with Action Quantization from Demonstrations. ICML (2022)
Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Eric Goubault, Romuald Elie
Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. AAMAS (2022)
C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. NeurIPS Datasets and Benchmarks (2021)
Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphaël Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning. CoRR (2021)
Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Éric Goubault, Romuald Elie
Solving N-player dynamic routing games with congestion: a mean field approach. CoRR (2021)
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
Continuous Control with Action Quantization from Demonstrations. CoRR (2021)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR (2021)
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphaël Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
Hyperparameter Selection for Imitation Learning. CoRR (2021)
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
What Matters for Adversarial Imitation Learning? CoRR (2021)
C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. CoRR (2021)
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
What Matters for Adversarial Imitation Learning? NeurIPS (2021)
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphaël Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
Hyperparameter Selection for Imitation Learning. ICML (2021)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR (2020)
A. Seza Dogruöz, Natalia Ponomareva, Sertan Girgin, Reshu Jain, Christoph Oehler
Text based user comments as a signal for automatic language identification of online videos. ICMI (2017)
W. Brent Seales, Steve Crossan, Mark Yoshitake, Sertan Girgin
From assets to stories via the Google Cultural Institute Platform. IEEE BigData (2013)
Kaya Kuru, Sertan Girgin, Kemal Arda, Ugur Bozlar
A novel report generation approach for medical applications: The SISDS methodology and its applications. Int. J. Medical Informatics 82 (5) (2013)
Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. 6 (2) (2012)
Kaya Kuru, Sertan Girgin
A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images. PRIB (2011)
Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
Advertising Campaigns Management: Should We Be Greedy? ICDM (2010)
Sertan Girgin, Faruk Polat, Reda Alhajj
Improving reinforcement learning by using sequence trees. Mach. Learn. 81 (3) (2010)
Kaya Kuru, Sertan Girgin, Kemal Arda
A Novel Multilingual Report Generation System for Medical Applications. AIME (2009)
Kaya Kuru, Sertan Girgin, Kemal Arda, Ugur Bozlar, Veysel Akgün
Developing Diagnostic DSSs Based on a Novel Data Collection Methodology. KSEM (2009)
Philippe Preux, Sertan Girgin, Manuel Loth
Feature discovery in approximate dynamic programming. ADPRL (2009)
Sertan Girgin, Philippe Preux
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. ICMLA (2008)
Sertan Girgin, Philippe Preux
Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP (2008)
Sertan Girgin, Philippe Preux
Basis Expansion in Natural Actor Critic Methods. EWRL (2008)
Sertan Girgin, Faruk Polat, Reda Alhajj
State Similarity Based Approach for Improving Performance in RL. IJCAI (2007)
Sertan Girgin, Faruk Polat, Reda Alhajj
Positive Impact of State Similarity on Reinforcement Learning Performance. IEEE Trans. Syst. Man Cybern. Part B 37 (5) (2007)
Sertan Girgin, Faruk Polat, Reda Alhajj
Effectiveness of Considering State Similarity for Reinforcement Learning. IDEAL (2006)
Sertan Girgin, Faruk Polat, Reda Alhajj
Learning by Automatic Option Discovery from Conditionally Terminating Sequences. ECAI (2006)
Erol Sahin, Sertan Girgin, Emre Ugur
Area measurement of large closed regions with a mobile robot. Auton. Robots 21 (3) (2006)
Sertan Girgin, Faruk Polat
Option Discovery in Reinforcement Learning using Frequent Common Subsequences of Actions. CIMCA/IAWTIC (2005)