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  1. 1
    Offline Reinforcement Learning as Anti-exploration

    Offline Reinforcement Learning as Anti-exploration by Rezaeifar, Shideh, Dadashi, Robert, Vieillard, Nino, Hussenot, Léonard, Bachem, Olivier, Pietquin, Olivier, Geist, Matthieu

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  2. 2
    WARM: On the Benefits of Weight Averaged Reward Models

    WARM: On the Benefits of Weight Averaged Reward Models by Ramé, Alexandre, Vieillard, Nino, Léonard Hussenot, Dadashi, Robert, Cideron, Geoffrey, Bachem, Olivier, Ferret, Johan

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  3. 3
    CopyCAT: Taking Control of Neural Policies with Constant Attacks

    CopyCAT: Taking Control of Neural Policies with Constant Attacks by Léonard Hussenot, Geist, Matthieu, Pietquin, Olivier

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  4. 4
    Primal Wasserstein Imitation Learning

    Primal Wasserstein Imitation Learning by Dadashi, Robert, Léonard Hussenot, Geist, Matthieu, Pietquin, Olivier

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  5. 5
    Show me the Way: Intrinsic Motivation from Demonstrations

    Show me the Way: Intrinsic Motivation from Demonstrations by Léonard Hussenot, Dadashi, Robert, Geist, Matthieu, Pietquin, Olivier

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  6. 6
    Learning Energy Networks with Generalized Fenchel-Young Losses

    Learning Energy Networks with Generalized Fenchel-Young Losses by Blondel, Mathieu, Llinares-López, Felipe, Dadashi, Robert, Léonard Hussenot, Geist, Matthieu

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  7. 7
    vec2text with Round-Trip Translations

    vec2text with Round-Trip Translations by Cideron, Geoffrey, Girgin, Sertan, Raichuk, Anton, Pietquin, Olivier, Bachem, Olivier, Léonard Hussenot

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  8. 8
    WARP: On the Benefits of Weight Averaged Rewarded Policies

    WARP: On the Benefits of Weight Averaged Rewarded Policies by Ramé, Alexandre, Ferret, Johan, Vieillard, Nino, Dadashi, Robert, Léonard Hussenot, Pierre-Louis Cedoz, Sessa, Pier Giuseppe, Girgin, Sertan, Douillard, Arthur, Bachem, Olivier

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  9. 9
    Continuous Control with Action Quantization from Demonstrations

    Continuous Control with Action Quantization from Demonstrations by Dadashi, Robert, Léonard Hussenot, Vincent, Damien, Girgin, Sertan, Raichuk, Anton, Geist, Matthieu, Pietquin, Olivier

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  10. 10
    MusicRL: Aligning Music Generation to Human Preferences

    MusicRL: Aligning Music Generation to Human Preferences by Cideron, Geoffrey, Girgin, Sertan, Verzetti, Mauro, Vincent, Damien, Kastelic, Matej, Borsos, Zalán, McWilliams, Brian, Ungureanu, Victor, Bachem, Olivier, Pietquin, Olivier, Geist, Matthieu, Léonard Hussenot, Zeghidour, Neil, Agostinelli, Andrea

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  11. 11
    Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning

    Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning by Wang, Kaiwen, Kidambi, Rahul, Sullivan, Ryan, Agarwal, Alekh, Dann, Christoph, Michi, Andrea, Gelmi, Marco, Li, Yunxuan, Gupta, Raghav, Dubey, Avinava, Ramé, Alexandre, Ferret, Johan, Cideron, Geoffrey, Hou, Le, Yu, Hongkun, Ahmed, Amr, Mehta, Aranyak, Léonard Hussenot, Bachem, Olivier, Leurent, Edouard

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  12. 12
    BOND: Aligning LLMs with Best-of-N Distillation

    BOND: Aligning LLMs with Best-of-N Distillation by Sessa, Pier Giuseppe, Dadashi, Robert, Léonard Hussenot, Ferret, Johan, Vieillard, Nino, Ramé, Alexandre, Bobak Shariari, Perrin, Sarah, Friesen, Abe, Cideron, Geoffrey, Girgin, Sertan, Stanczyk, Piotr, Michi, Andrea, Sinopalnikov, Danila, Ramos, Sabela, Héliou, Amélie, Severyn, Aliaksei, Hoffman, Matt, Momchev, Nikola, Bachem, Olivier

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  13. 13
    Offline Reinforcement Learning as Anti-Exploration

    Offline Reinforcement Learning as Anti-Exploration by Rezaeifar, Shideh, Dadashi, Robert, Vieillard, Nino, Léonard Hussenot, Bachem, Olivier, Pietquin, Olivier, Geist, Matthieu

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  14. 14
    Offline Reinforcement Learning with Pseudometric Learning

    Offline Reinforcement Learning with Pseudometric Learning by Dadashi, Robert, Rezaeifar, Shideh, Vieillard, Nino, Léonard Hussenot, Pietquin, Olivier, Geist, Matthieu

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  15. 15
    Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

    Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback by Roit, Paul, Ferret, Johan, Shani, Lior, Aharoni, Roee, Cideron, Geoffrey, Dadashi, Robert, Geist, Matthieu, Girgin, Sertan, Léonard Hussenot, Keller, Orgad, Momchev, Nikola, Ramos, Sabela, Stanczyk, Piotr, Vieillard, Nino, Bachem, Olivier, Elidan, Gal, Hassidim, Avinatan, Pietquin, Olivier, Szpektor, Idan

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  16. 16
    What Matters for Adversarial Imitation Learning?

    What Matters for Adversarial Imitation Learning? by Orsini, Manu, Raichuk, Anton, Léonard Hussenot, Vincent, Damien, Dadashi, Robert, Girgin, Sertan, Geist, Matthieu, Bachem, Olivier, Pietquin, Olivier, Andrychowicz, Marcin

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  17. 17
    RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

    RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning by Ramos, Sabela, Girgin, Sertan, Léonard Hussenot, Vincent, Damien, Yakubovich, Hanna, Toyama, Daniel, Gergely, Anita, Stanczyk, Piotr, Marinier, Raphael, Harmsen, Jeremiah, Pietquin, Olivier, Momchev, Nikola

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  18. 18
    Gemma 2: Improving Open Language Models at a Practical Size

    Gemma 2: Improving Open Language Models at a Practical Size by Team, Gemma, Léonard Hussenot, Shahriari, Bobak, Ramé, Alexandre, Ferret, Johan, Friesen, Abe, Tsitsulin, Anton, Vieillard, Nino, Girgin, Sertan, Hoffman, Matt, Neyshabur, Behnam, Abdagic, Alvin, Carl, Amanda, Brock, Andy, Paterson, Antonia, Royal, Brandon, Weinberger, David, Vijaykumar, Dimple, Herbison, Dustin, Bandy, Elisa, Wang, Emma, Noland, Eric, Moreira, Erica, Senter, Evan, Eltyshev, Evgenii, Rasskin, Gabriel, Wei, Gary, Cameron, Glenn, Martins, Gus, Hashemi, Hadi, Hanna Klimczak-Plucińska, Zhou, Jack, Stanway, Jeff, Chan, Jetha, Jin Peng Zhou, Becker, Jocelyn, Fernandez, Joe, Joost van Amersfoort, Gordon, Josh, Lipschultz, Josh, Newlan, Josh, Badola, Kartikeya, Black, Kat, Millican, Katie, Greene, Kish, Lars Lowe Sjoesund, Usui, Lauren, Lilly McNealus, Livio Baldini Soares, Kilpatrick, Logan, Dixon, Lucas, Reid, Machel, Iverson, Mark, Miller, Matt, Rahtz, Matthew, Risdal, Meg, Rahman, Mofi, Khatwani, Mohit, Bardoliwalla, Nenshad, Dumai, Neta, Botarda, Pankil, Barham, Paul, Culliton, Phil, Comanescu, Ramona, Jana, Reena, Agarwal, Rishabh, Samaneh Saadat, Sara Mc Carthy, Cogan, Sarah, Perrin, Sarah, Arnold, Sébastien M R, Krause, Sebastian, Garg, Shruti, Sheth, Shruti, Chan, Susan, Yu, Ting, Kocisky, Tomas, Jain, Vihan, Yadav, Vikas, Meshram, Vilobh, Dharmadhikari, Vishal, Barkley, Warren, Shen, Zhe, Gong, Zhitao, Zichuan Wei, Kirk, Phoebe, Rao, Anand, Warkentin, Tris, Ghahramani, Zoubin, Hadsell, Raia, Banks, Jeanine, Dragan, Anca, Vinyals, Oriol, Dean, Jeff, Kavukcuoglu, Koray, Clement Farabet, Fiedel, Noah, Kenealy, Kathleen, Dadashi, Robert, Andreev, Alek

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  19. 19
    RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

    RecurrentGemma: Moving Past Transformers for Efficient Open Language Models by Botev, Aleksandar, De, Soham, Smith, Samuel L, Anushan Fernando, George-Cristian Muraru, Haroun, Ruba, Berrada, Leonard, Pascanu, Razvan, Sessa, Pier Giuseppe, Dadashi, Robert, Léonard Hussenot, Ferret, Johan, Girgin, Sertan, Bachem, Olivier, Andreev, Alek, Kenealy, Kathleen, Mesnard, Thomas, Cassidy Hardin, Bhupatiraju, Surya, Pathak, Shreya, Sifre, Laurent, Rivière, Morgane, Mihir Sanjay Kale, Love, Juliette, Tafti, Pouya, Joulin, Armand, Fiedel, Noah, Senter, Evan, Chen, Yutian, Srinivasan, Srivatsan, Desjardins, Guillaume, Budden, David, Doucet, Arnaud, Vikram, Sharad, Paszke, Adam, Gale, Trevor, Borgeaud, Sebastian, Chen, Charlie, Brock, Andy, Paterson, Antonia, Brennan, Jenny, Risdal, Meg, Gundluru, Raj, Devanathan, Nesh, Mooney, Paul, Chauhan, Nilay, Culliton, Phil, Martins, Luiz Gustavo, Bandy, Elisa, Huntsperger, David, Cameron, Glenn, Zucker, Arthur, Warkentin, Tris, Peran, Ludovic, Giang, Minh, Ghahramani, Zoubin, Farabet, Clément, Kavukcuoglu, Koray, Hassabis, Demis, Hadsell, Raia, Teh, Yee Whye, Nando de Frietas

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  20. 20
    Gemma: Open Models Based on Gemini Research and Technology

    Gemma: Open Models Based on Gemini Research and Technology by Team, Gemma, Mesnard, Thomas, Cassidy Hardin, Dadashi, Robert, Bhupatiraju, Surya, Pathak, Shreya, Sifre, Laurent, Rivière, Morgane, Mihir Sanjay Kale, Love, Juliette, Tafti, Pouya, Léonard Hussenot, Sessa, Pier Giuseppe, Chowdhery, Aakanksha, Roberts, Adam, Barua, Aditya, Castro-Ros, Alex, Slone, Ambrose, Tacchetti, Andrea, Bulanova, Anna, Paterson, Antonia, Tsai, Beth, Shahriari, Bobak, Charline Le Lan, Choquette-Choo, Christopher A, Crepy, Clément, Cer, Daniel, Ippolito, Daphne, Reid, David, Buchatskaya, Elena, Noland, Eric, Geng, Yan, Tucker, George, George-Christian Muraru, Rozhdestvenskiy, Grigory, Michalewski, Henryk, Tenney, Ian, Austin, Jacob, Keeling, James, Jean-Baptiste Lespiau, Stanway, Jeff, Brennan, Jenny, Chen, Jeremy, Ferret, Johan, Chiu, Justin, Mao-Jones, Justin, Lee, Katherine, Yu, Kathy, Millican, Katie, Lars Lowe Sjoesund, Lee, Lisa, Dixon, Lucas, Reid, Machel, Mikuła, Maciej, Wirth, Mateo, Sharman, Michael, Chinaev, Nikolai, Thain, Nithum, Bachem, Olivier, Wahltinez, Oscar, Bailey, Paige, Michel, Paul, Yotov, Petko, Chaabouni, Rahma, Comanescu, Ramona, Jana, Reena, Rohan, Anil, McIlroy, Ross, Smith, Samuel L, Borgeaud, Sebastian, Girgin, Sertan, Sholto Douglas, Pandya, Shree, Shakeri, Siamak, De, Soham, Klimenko, Ted, Hennigan, Tom, Feinberg, Vlad, Stokowiec, Wojciech, Yu-hui, Chen, Zafarali Ahmed, Gong, Zhitao, Warkentin, Tris, Peran, Ludovic, Giang, Minh, Farabet, Clément, Vinyals, Oriol, Dean, Jeff, Kavukcuoglu, Koray, Hassabis, Demis, Ghahramani, Zoubin, Eck, Douglas, Barral, Joelle, Pereira, Fernando, Collins, Eli, Joulin, Armand, Fiedel, Noah, Senter, Evan, Andreev, Alek, Kenealy, Kathleen

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