Paper

  • Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

    Cuong Le, Viktor Johansson, Manon Kok, Bastian Wandt p43609-43631 from Advances in Neural Information Processing Systems 37
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  • Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments

    Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song, Paul Valiant p4150-4176 from Advances in Neural Information Processing Systems 36
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  • Optimality of Message-Passing Architectures for Sparse Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimality of Message-Passing Architectures for Sparse Graphs

    Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath p40320-40341 from Advances in Neural Information Processing Systems 36
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  • OPTIMISATION OF THE STRUCTURAL INSPECTION OF TIMBER BRIDGES USING DIGITAL MODELS

    World Conference on Timber Engineering 2025

    OPTIMISATION OF THE STRUCTURAL INSPECTION OF TIMBER BRIDGES USING DIGITAL MODELS

    Antje Simon, Thorben Niemann, Ralf Arndt, Habeb Astour, Frank Bonitz, Martin Schickert, Wolfram Scheiding p2792-2801 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Optimising Coverage, Size and Inclusivity of Future Body Armour: The UK’s New, Innovative Tri-Service Anthropometric Survey

    Royal Military Academy (Belgium)

    Optimising Coverage, Size and Inclusivity of Future Body Armour: The UK’s New, Innovative Tri-Service Anthropometric Survey

    E. A. Lewis, R. H. Pringle, L. Evans, S. C. Bloodworth-Race, R. N. Fryer p193-202 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • Optimistic Active Exploration of Dynamical Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Active Exploration of Dynamical Systems

    Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause p38122-38153 from Advances in Neural Information Processing Systems 36
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  • Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

    Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang p108167-108207 from Advances in Neural Information Processing Systems 37
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  • Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates

    Sarath Sreedharan, Michael Katz p34519-34535 from Advances in Neural Information Processing Systems 36
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  • Optimistic Meta-Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Meta-Gradients

    Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado Van Hasselt, András György, Satinder Singh p57852-57862 from Advances in Neural Information Processing Systems 36
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  • Optimistic Mirror Descent Either Converges to Nash Or to Strong Coarse Correlated Equilibria in Bimatrix Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Mirror Descent Either Converges to Nash Or to Strong Coarse Correlated Equilibria in Bimatrix Games

    Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm p16439-16454 from Advances in Neural Information Processing Systems 35
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  • Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

    Qinghua Liu, Gellert Weisz, András György, Chi Jin, Csaba Szepesvari p3560-3577 from Advances in Neural Information Processing Systems 36
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  • Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

    Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Mark Rowland, Michal Valko, Pierre Ménard p10737-10751 from Advances in Neural Information Processing Systems 35
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