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Matthieu Geist

16 papers at tracked venues · 12 at CORE A* · active 2024–2025

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Venues

NeurIPS ×6ICLR ×3ICML ×2AAAI ×1AAMAS ×1EMNLP ×1IROS ×1UAI ×1

Frequent coauthors

Pierre Clavier
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Till Freihaut
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Eugene Choi
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Raj Ghugare
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Yannis Flet-Berliac
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Matteo El Hariry
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Markus Wulfmeier
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Kai Cui
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Geoffrey Cideron
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Rémi Munos
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Rishabh Agarwal
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Amit Sinha
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Papers

  1. Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
    NeurIPS 2025 ·
    Till Freihaut
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  2. Self-Improving Robust Preference Optimization
    ICLR 2025 ·
    Eugene Choi
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  3. ShiQ: Bringing back Bellman to LLMs
    NeurIPS 2025 ·
    Pierre Clavier
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  4. Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View
    ICLR 2024 ·
    Raj Ghugare
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  5. Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
    EMNLP 2024 ·
    Yannis Flet-Berliac
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  6. DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
    IROS 2024 ·
    Matteo El Hariry
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  7. Imitating Language via Scalable Inverse Reinforcement Learning
    NeurIPS 2024 ·
    Markus Wulfmeier
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  8. Learning Discrete-Time Major-Minor Mean Field Games
    AAAI 2024 ·
    Kai Cui
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  9. MusicRL: Aligning Music Generation to Human Preferences
    ICML 2024 ·
    Geoffrey Cideron
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  10. Nash Learning from Human Feedback
    ICML 2024 ·
    Rémi Munos
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  11. Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
    NeurIPS 2024 ·
    Pierre Clavier
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  12. On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
    ICLR 2024 ·
    Rishabh Agarwal
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  13. Periodic agent-state based Q-learning for POMDPs
    NeurIPS 2024 ·
    Amit Sinha
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  14. Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
    AAMAS 2024 ·
    Zida Wu
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  15. Time-Constrained Robust MDPs
    NeurIPS 2024 ·
    Adil Zouitine
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  16. Towards Minimax Optimality of Model-based Robust Reinforcement Learning
    UAI 2024 ·
    Pierre Clavier
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