Search Results - Raichuk, Anton

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  1. 1
    Google Research Football: A Novel Reinforcement Learning Environment

    Google Research Football: A Novel Reinforcement Learning Environment by Kurach, Karol, Raichuk, Anton, Stańczyk, Piotr, Zając, Michał, Bachem, Olivier, Espeholt, Lasse, Riquelme, Carlos, Vincent, Damien, Michalski, Marcin, Bousquet, Olivier, Gelly, Sylvain

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  2. 2
    PLANTED: A Dataset for Planted Forest Identification from Multi-Satellite Time Series

    PLANTED: A Dataset for Planted Forest Identification from Multi-Satellite Time Series by Pazos-Outon, Luis Miguel, Vasconcelos, Cristina Nader, Raichuk, Anton, Arnab, Anurag, Morris, Dan, Neumann, Maxim

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  3. 3
    Planted: a dataset for planted forest identification from multi-satellite time series

    Planted: a dataset for planted forest identification from multi-satellite time series by Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Raichuk, Anton, Arnab, Anurag, Morris, Dan, Neumann, Maxim

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  4. 4
    Implicitly Regularized RL with Implicit Q-Values

    Implicitly Regularized RL with Implicit Q-Values by Vieillard, Nino, Andrychowicz, Marcin, Raichuk, Anton, Pietquin, Olivier, Geist, Matthieu

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  5. 5
    Agent-Centric Representations for Multi-Agent Reinforcement Learning

    Agent-Centric Representations for Multi-Agent Reinforcement Learning by Shang, Wenling, Espeholt, Lasse, Raichuk, Anton, Salimans, Tim

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  6. 6
    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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  7. 7
    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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  8. 8
    Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

    Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation by Freeman, C Daniel, Frey, Erik, Raichuk, Anton, Girgin, Sertan, Mordatch, Igor, Bachem, Olivier

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  9. 9
    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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  10. 10
    Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization

    Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization by Gu, Shixiang Shane, Diaz, Manfred, Freeman, Daniel C, Furuta, Hiroki, Seyed Kamyar Seyed Ghasemipour, Raichuk, Anton, Byron, David, Frey, Erik, Coumans, Erwin, Bachem, Olivier

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  11. 11
    Episodic Curiosity through Reachability

    Episodic Curiosity through Reachability by Savinov, Nikolay, Raichuk, Anton, Marinier, Raphaël, Vincent, Damien, Pollefeys, Marc, Lillicrap, Timothy, Gelly, Sylvain

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  12. 12
    Hyperparameter Selection for Imitation Learning

    Hyperparameter Selection for Imitation Learning by Hussenot, Leonard, Andrychowicz, Marcin, Vincent, Damien, Dadashi, Robert, Raichuk, Anton, Stafiniak, Lukasz, Girgin, Sertan, Marinier, Raphael, Momchev, Nikola, Ramos, Sabela, Orsini, Manu, Bachem, Olivier, Geist, Matthieu, Pietquin, Olivier

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  13. 13
    What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

    What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study by Andrychowicz, Marcin, Raichuk, Anton, Stańczyk, Piotr, Orsini, Manu, Girgin, Sertan, Marinier, Raphael, Léonard Hussenot, Geist, Matthieu, Pietquin, Olivier, Michalski, Marcin, Gelly, Sylvain, Bachem, Olivier

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  14. 14
    Google Research Football: A Novel Reinforcement Learning Environment

    Google Research Football: A Novel Reinforcement Learning Environment by Kurach, Karol, Raichuk, Anton, Stańczyk, Piotr, Zając, Michał, Bachem, Olivier, Espeholt, Lasse, Riquelme, Carlos, Vincent, Damien, Michalski, Marcin, Bousquet, Olivier, Gelly, Sylvain

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  15. 15
    Acme: A Research Framework for Distributed Reinforcement Learning

    Acme: A Research Framework for Distributed Reinforcement Learning by Hoffman, Matthew W, Shahriari, Bobak, Aslanides, John, Barth-Maron, Gabriel, Momchev, Nikola, Sinopalnikov, Danila, Stańczyk, Piotr, Ramos, Sabela, Raichuk, Anton, Vincent, Damien, Léonard Hussenot, Dadashi, Robert, Dulac-Arnold, Gabriel, Orsini, Manu, Jacq, Alexis, Ferret, Johan, Vieillard, Nino, Seyed Kamyar Seyed Ghasemipour, Girgin, Sertan, Pietquin, Olivier, Behbahani, Feryal, Norman, Tamara, Abdolmaleki, Abbas, Cassirer, Albin, Yang, Fan, Baumli, Kate, Henderson, Sarah, Friesen, Abe, Haroun, Ruba, Novikov, Alex, Sergio Gómez Colmenarejo, Cabi, Serkan, Gulcehre, Caglar, Tom Le Paine, Srinivasan, Srivatsan, Cowie, Andrew, Wang, Ziyu, Piot, Bilal, Nando de Freitas

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