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Mathieu Laurière

6 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AAMAS ×2ICML ×2AAAI ×1NeurIPS ×1

Frequent coauthors

Lorenzo Magnino
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Antonio Ocello
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Gökçe Dayanikli
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Kai Cui
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Zida Wu
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Papers

  1. Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
    ICML 2025 ·
    Antonio Ocello
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  2. Learning to Stop: Deep Learning for Mean Field Optimal Stopping
    ICML 2025 ·
    Lorenzo Magnino
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  3. Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
    NeurIPS 2025 ·
    Lorenzo Magnino
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  4. Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise
    AAMAS 2024 ·
    Gökçe Dayanikli
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  5. Learning Discrete-Time Major-Minor Mean Field Games
    AAAI 2024 ·
    Kai Cui
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  6. Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
    AAMAS 2024 ·
    Zida Wu
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