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Olivier Pietquin

  1. Noisy Networks for Exploration
    2017/06/30 by Meire Fortunato, Fortunato, Meire, Mohammad Gheshlaghi Azar +22 · 2 voices · 57 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Advanced Bandit Algorithms Research
  2. Deep Q-learning from Demonstrations
    2017/04/12 by Todd Hester, Matej Vecerík, Matej Vecerik +27 · 2 voices · 40 citations
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance #cs.AI #cs.LG
  3. AudioLM: a Language Modeling Approach to Audio Generation
    2022/09/07 by Zalán Borsos, Borsos, Zalán, Raphaël Marinier +18 · 122 citations
    Computer Science · #Speech Recognition and Synthesis #Music and Audio Processing #Speech and Audio Processing
  4. Observational Learning by Reinforcement Learning
    2017/06/20 by Diana Borsa, Borsa, Diana, Bilal Piot +5 · 1 voice · 4 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Evolutionary Algorithms and Applications
  5. A Theory of Regularized Markov Decision Processes
    2019/01/31 by Matthieu Geist, Geist, Matthieu, Bruno Scherrer +3 · 29 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
    2017/07/27 by Todd Hester, Vecerik, Mel, Jonathan Scholz +16 · 27 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  7. Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
    2023/02/07 by Eugene Kharitonov, Damien Vincent, Kharitonov, Eugene +15 · 34 citations
    Computer Science · #Speech Recognition and Synthesis #Natural Language Processing Techniques #Topic Modeling
  8. Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation
    2016/12/06 by Alexandre Bérard, Berard, Alexandre, Olivier Pietquin +5 · 17 citations
    Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Speech and dialogue systems
  9. What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
    2020/06/10 by Marcin Andrychowicz, Anton Raichuk, Andrychowicz, Marcin +21 · 17 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics #Software Engineering Research
  10. Primal Wasserstein Imitation Learning
    2020/06/08 by Robert Dadashi, Léonard Hussenot, Dadashi, Robert +5 · 14 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  11. Learning in Mean Field Games: A Survey
    2022/05/25 by Mathieu Laurière, Laurière, Mathieu, Sarah Perrin +13 · 1 voice · 10 citations
    Economics, Econometrics and Finance · #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #math.OC
  12. RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
    2021/11/04 by Sabela Ramos, Ramos, Sabela, Sertan Girgin +21 · 11 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Scientific Computing and Data Management #Data Stream Mining Techniques
  13. SingSong: Generating musical accompaniments from singing
    2023/01/30 by Chris Donahue, Donahue, Chris, Antoine Caillon +19 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multimedia (cs.MM) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  14. NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics
    2024/11/11 by David Robinson, Robinson, David, Marius Miron +15 · 2 voices · 13 citations
    #cs.SD #cs.AI #cs.LG #eess.AS
  15. Fictitious Play for Mean Field Games: Continuous Time Analysis and\n Applications
    2020/07/05 by Sarah Perrin, Perrin, Sarah, Julien Pérolat +9 · 8 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Applications #Reinforcement Learning in Robotics
  16. MusicRL: Aligning Music Generation to Human Preferences
    2024/02/06 by Geoffrey Cideron, Cideron, Geoffrey, Sertan Girgin +25 · 12 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music Technology and Sound Studies #Music and Audio Processing #Sound (cs.SD) #electronic engineering #information engineering
  17. Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
    2022/03/22 by Mathieu Laurière, Sarah Perrin, Laurière, Mathieu +19 · 8 citations
    Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Innovation Diffusion and Forecasting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sports Analytics and Performance
  18. Modulating early visual processing by language
    2017/07/02 by Harm de Vries, de Vries, Harm, Florian Strub +9 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  19. What Matters for Adversarial Imitation Learning?
    2021/06/01 by Manu Orsini, Orsini, Manu, Anton Raichuk +17 · 5 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  20. Offline Reinforcement Learning as Anti-Exploration
    2021/06/11 by Shideh Rezaeifar, Rezaeifar, Shideh, Robert Dadashi +10 · 4 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  21. Learning from Heterogeneous EEG Signals with Differentiable Channel\n Reordering
    2020/10/21 by Aaqib Saeed, David Grangier, Saeed, Aaqib +5 · 3 citations
    Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural dynamics and brain function #Signal Processing (eess.SP) #electronic engineering #information engineering
  22. CopyCAT: Taking Control of Neural Policies with Constant Attacks
    2019/05/29 by Léonard Hussenot, Matthieu Geist, Hussenot, Léonard +3 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
  23. Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
    2024/06/27 by Yannis Flet-Berliac, Flet-Berliac, Yannis, Nathan Grinsztajn +18 · 6 citations
    Decision Sciences · #Educational Assessment and Improvement
  24. Emergent Communication: Generalization and Overfitting in Lewis Games
    2022/09/30 by Mathieu Rita, Rita, Mathieu, Tallec, Corentin +9 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · Social Sciences · #Computation and Language (cs.CL) #DNA and Biological Computing #FOS: Computer and information sciences #Information Theory (cs.IT) #Language and cultural evolution #Multiagent Systems (cs.MA) #Origins and Evolution of Life
  25. Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
    2021/06/07 by Matthieu Geist, Julien Pérolat, Geist, Matthieu +13 · 3 citations
    Computer Science · Decision Sciences · #Auction Theory and Applications #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  26. Leverage the Average: an Analysis of KL Regularization in RL
    2020/03/31 by Nino Vieillard, Vieillard, Nino, Tadashi Kozuno +9 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
  27. Scaling up Mean Field Games with Online Mirror Descent
    2021/02/28 by Julien Pérolat, Perolat, Julien, Sarah Perrin +13 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Reinforcement Learning in Robotics
  28. There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
    2021/06/08 by Nathan Grinsztajn, Johan Ferret, Grinsztajn, Nathan +6 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
  29. On Imitation in Mean-field Games
    2023/06/26 by Giorgia Ramponi, Pavel Kolev, Ramponi, Giorgia +9 · 3 citations
    Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Experimental Behavioral Economics Studies
  30. Mean Field Games Flock! The Reinforcement Learning Way
    2021/05/17 by Sarah Perrin, Perrin, Sarah, Mathieu Laurière +8 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Distributed Control Multi-Agent Systems #Metaheuristic Optimization Algorithms Research
  31. Observe and Look Further: Achieving Consistent Performance on Atari
    2018/05/29 by Tobias Pohlen, Bilal Piot, Pohlen, Tobias +23 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  32. Momentum in Reinforcement Learning
    2019/10/21 by Nino Vieillard, Bruno Scherrer, Vieillard, Nino +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  33. Learning Discrete-Time Major-Minor Mean Field Games
    2023/12/17 by Kai Cui, Cui, Kai, Gökçe Dayanıklı +9 · 3 citations
    Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Sports Analytics and Performance
  34. Countering Language Drift with Seeded Iterated Learning
    2020/03/28 by Yuchen Lu, Soumye Singhal, Lu, Yuchen +7 · 1 citation
    Computer Science · #Topic Modeling #Speech and dialogue systems #Natural Language Processing Techniques
  35. Supervised Seeded Iterated Learning for Interactive Language Learning
    2020/10/06 by Yuchen Lu, Soumye Singhal, Lu, Yuchen +7 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems #Topic Modeling
  36. Self-Imitation Advantage Learning
    2020/12/22 by Johan Ferret, Ferret, Johan, Olivier Pietquin +3 · 1 citation
    Computer Science · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  37. Adversarially Guided Actor-Critic
    2021/02/08 by Yannis Flet-Berliac, Flet-Berliac, Yannis, Johan Ferret +6 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
  38. Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning
    2024/04/30 by Mathieu Rita, Florian Strub, Rita, Mathieu +9 · 2 citations
    Computer Science · Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Scheduling and Optimization Algorithms
  39. Learning Correlated Equilibria in Mean-Field Games
    2022/08/22 by Paul Müller, Muller, Paul, Romuald Élie +17 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Computer Science and Game Theory (cs.GT) #Economic theories and models #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (stat.ML)
  40. Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
    2016/06/28 by Julien Pérolat, Florian Strub, Pérolat, Julien +5 · 1 citation
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Game Theory and Applications #Advanced Bandit Algorithms Research
  41. Get Back Here: Robust Imitation by Return-to-Distribution Planning
    2023/05/02 by Geoffrey Cideron, Baruch Tabanpour, Cideron, Geoffrey +15 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  42. Generalization in Mean Field Games by Learning Master Policies
    2021/09/20 by Sarah Perrin, Perrin, Sarah, Mathieu Laurière +8 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  43. ShiQ: Bringing back Bellman to LLMs
    2025/05/16 by Pierre Clavier, Nathan Grinsztajn, Clavier, Pierre +19 · 2 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Natural Language Processing Techniques
  44. End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de Vries
    2017/03/15 by Florian Strub, Harm de Vries, Strub, Florian +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems #Topic Modeling