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https://deepai.org/publication/mean-field-multi-agent-reinforcement-learning Mean Field Multi-Agent Reinforcement Learning | DeepAI Feb 15, 2018 - 02/15/18 - Existing multi-agent reinforcement learning methods are limited typically to a small number of agents. When the agent number incre... mean field multi agent reinforcement learning deepai https://arxiv.org/abs/2504.19928 [2504.19928] Unravelling mean-field Lindblad equation Abstract page for arXiv paper 2504.19928: Unravelling mean-field Lindblad equation mean field 2504 unravelling lindblad equation https://jmlr.org/papers/v26/23-0345.html Actor-Critic learning for mean-field control in continuous time actor critic learning for mean field control continuous https://openreview.net/forum?id=kXf5CfXBbU Generalization Guarantees of Deep ResNets in the Mean-Field Regime | OpenReview Despite the widespread empirical success of ResNet, the generalization ability of deep ResNet is rarely explored beyond the lazy-training regime. In this work,... in the mean field generalization guarantees deep https://openreview.net/forum?id=S1gvg0NYvH Mean Field Models for Neural Networks in Teacher-student Setting | OpenReview We discuss mean field models for two-layer fully-connected networks and ResNet models and characterize stationary distributions in the teacher-student setting. mean field neural networks in teacher models https://speakerdeck.com/lwc2017/mean-field-games-with-applications-year-5 Mean field games with applications year 5 - Speaker Deck mean field games year 5 applications speaker deck https://jmlr.org/papers/v26/24-1221.html Learning with Linear Function Approximations in Mean-Field Control linear function mean field learning approximations control https://openreview.net/forum?id=G2349zxvoB&referrer=%5Bthe%20profile%20of%20Dana%20S.%20Nau%5D(%2Fprofile%3Fid%3D~Dana_S._Nau1) A Mean Field Game Model of Spatial Evolutionary Games | OpenReview a mean game model field spatial evolutionary https://deepai.org/publication/efficient-ridesharing-order-dispatching-with-mean-field-multi-agent-reinforcement-learning Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning | DeepAI Jan 31, 2019 - 01/31/19 - A fundamental question in any peer-to-peer ridesharing system is how to, both effectively and efficiently, dispatch user's ride re... mean field https://arxiv.org/abs/2511.04198 [2511.04198] Mean-field approximations in insurance Abstract page for arXiv paper 2511.04198: Mean-field approximations in insurance mean field 2511 04198 approximations insurance https://arxiv.org/abs/2407.20758 [2407.20758] Canard cascading in networks with adaptive mean-field coupling Abstract page for arXiv paper 2407.20758: Canard cascading in networks with adaptive mean-field coupling mean field 2407 20758 canard cascading https://www.jmlr.org/papers/v27/24-1057.html Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation mean field variational inference extending https://www.proquest.com/docview/3163016693/B37CC7AE658A48FCPQ/ A Mean-Field Modeling Framework Incorporating Intragranular Orientation Spreads to Improve Modeling... Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform. a mean field modeling framework https://arxiv.org/abs/2410.06318v1 [2410.06318v1] Spin-orbit coupled mean-field Bose gas at finite temperature Abstract page for arXiv paper 2410.06318v1: Spin-orbit coupled mean-field Bose gas at finite temperature mean field https://arxiv.org/abs/0807.3108 [0807.3108] Mean field limit for bosons and propagation of Wigner measures Abstract page for arXiv paper 0807.3108: Mean field limit for bosons and propagation of Wigner measures mean field https://arxiv.org/abs/1304.2623 [1304.2623] Mean field spin glasses treated with PDE techniques Abstract page for arXiv paper 1304.2623: Mean field spin glasses treated with PDE techniques mean field spin glasses 1304 2623 treated https://slides.com/profdressel/weak-values-superoscillations Weak values : From superoscillations to mean-field estimates Invited talk for the Superoscillation conference in Cetraro, Italy, 6/15/2019 mean field weak values estimates https://openreview.net/forum?id=SyMDXnCcF7 A Mean Field Theory of Batch Normalization | OpenReview Batch normalization causes exploding gradients in vanilla feedforward networks. mean field theory batch normalization openreview https://openreview.net/forum?id=tMzPZTvz2H&referrer=%5Bthe%20profile%20of%20Fanghui%20Liu%5D(%2Fprofile%3Fid%3D~Fanghui_Liu1) Generalization of Scaled Deep ResNets in the Mean-Field Regime | OpenReview Despite the widespread empirical success of ResNet, the generalization properties of deep ResNet are rarely explored beyond the lazy training regime. In this... in the mean field generalization scaled deep https://openreview.net/forum?id=tMzPZTvz2H Generalization of Scaled Deep ResNets in the Mean-Field Regime | OpenReview Despite the widespread empirical success of ResNet, the generalization properties of deep ResNet are rarely explored beyond the lazy training regime. In this... in the mean field generalization scaled deep https://www.gale.com/products/9781461485087 Mean Field Games and Mean Field Type Control Theory mean field games type control theory https://arxiv.org/abs/2409.10145 [2409.10145] The thermodynamic limit in mean field neural networks Abstract page for arXiv paper 2409.10145: The thermodynamic limit in mean field neural networks limit in mean 2409 10145 thermodynamic field https://arxiv.org/abs/1401.5026 [1401.5026] Mean-field dynamo action from delayed transport Abstract page for arXiv paper 1401.5026: Mean-field dynamo action from delayed transport mean field 1401 5026 dynamo action https://arxiv.org/abs/1906.10232 [1906.10232] Mean-field limit of interacting 2D nonlinear stochastic spiking neurons Abstract page for arXiv paper 1906.10232: Mean-field limit of interacting 2D nonlinear stochastic spiking neurons mean field https://arxiv.org/abs/nlin/0001027v2 [nlin/0001027v2] Mean- Field Approximation and a Small Parameter in Turbulence Theory Abstract page for arXiv paper nlin/0001027v2: Mean- Field Approximation and a Small Parameter in Turbulence Theory mean field approximation https://arxiv.org/abs/1803.04094 [1803.04094] Mean Field Games with Partial Information for Algorithmic Trading Abstract page for arXiv paper 1803.04094: Mean Field Games with Partial Information for Algorithmic Trading mean field games information for 1803 04094 https://anr.fr/en/funded-projects-and-impact/funded-projects/project/funded/project/b2d9d3668f92a3b9fbbf7866072501ef-e4a023eac8/?tx_anrprojects_funded%5Bcontroller%5D=Funded&cHash=afeea4748360f40654e999bf8fc8c611 KInetic modelling of MEan field GAmes | ANR The project is devoted to the study of Kinetic Mean Field Games (KMFGs), i.e. the limit of cooperative or non-cooperative games in very large populations,... mean field games kinetic modelling anr https://arxiv.org/abs/2405.19995 [2405.19995] Symmetries in Overparametrized Neural Networks: A Mean-Field View Abstract page for arXiv paper 2405.19995: Symmetries in Overparametrized Neural Networks: A Mean-Field View neural networks mean field 2405 symmetries https://deepai.org/publication/learning-sparse-graphon-mean-field-games Learning Sparse Graphon Mean Field Games | DeepAI Sep 8, 2022 - 09/08/22 - Although the field of multi-agent reinforcement learning (MARL) has made considerable progress in the last years, solving systems ... mean field games learning sparse graphon deepai https://openreview.net/forum?id=mslTE1qgLa Major-Minor Mean Field Multi-Agent Reinforcement Learning | OpenReview Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field Control (MFC) provides a tractable and... major minor mean field multi agent reinforcement learning openreview https://deepai.org/publication/efficient-model-based-multi-agent-mean-field-reinforcement-learning Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning | DeepAI Jul 8, 2021 - 07/08/21 - Learning in multi-agent systems is highly challenging due to the inherent complexity introduced by agents' interactions. We tackle... multi agent mean field reinforcement learning efficient model https://deepai.org/publication/learning-decentralized-partially-observable-mean-field-control-for-artificial-collective-behavior Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior |... Jul 12, 2023 - 07/12/23 - Recent reinforcement learning (RL) methods have achieved success in various domains. However, multi-agent RL (MARL) remains a chal... partially observable mean field learning decentralized https://arxiv.org/abs/1204.4503v2 [1204.4503v2] Glauber Dynamics for the mean-field Potts Model Abstract page for arXiv paper 1204.4503v2: Glauber Dynamics for the mean-field Potts Model glauber dynamics for the mean field 1204 potts https://arxiv.org/abs/1803.02647 [1803.02647] Mean field repulsive Kuramoto models: Phase locking and spatial signs Abstract page for arXiv paper 1803.02647: Mean field repulsive Kuramoto models: Phase locking and spatial signs mean field https://www.kth.se/math/kalender/numerical-approximation-of-quantum-canonical-statistical-observables-with-mean-field-molecular-dynamics-and-machine-learning-1.1364737?date=2024-11-13&orgdate=2024-02-13&length=1&orglength=0 Numerical approximation of quantum canonical statistical observables with mean-field molecular... numerical approximation mean field quantum canonical https://openreview.net/forum?id=tj86aGVNb3 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond |... feature learning mean field langevin dynamics https://openreview.net/forum?id=eHZhjP5QdR Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems | OpenReview In this paper, we extend mean-field Langevin dynamics to minimax optimization over probability distributions for the first time with symmetric and provably... mean field langevin dynamics symmetric distributional minimax https://jmlr.org/papers/v27/24-1057.html Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation mean field variational inference extending https://jmlr.org/papers/v26/24-0458.html Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL https://arxiv.org/abs/1912.05874 [1912.05874] Brake orbits and heteroclinic connections for first order Mean Field Games Abstract page for arXiv paper 1912.05874: Brake orbits and heteroclinic connections for first order Mean Field Games https://openreview.net/forum?id=NE9ajrddxX&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICML.cc%2F2025%2FConference%2FAuthors%23your-submissions) Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games |... We introduce Mean Field Trust Region Policy Optimization (MF-TRPO), a novel algorithm designed to compute approximate Nash equilibria for ergodic Mean Field... https://arxiv.org/abs/2105.00073 [2105.00073] On Numerical approximations of fractional and nonlocal Mean Field Games Abstract page for arXiv paper 2105.00073: On Numerical approximations of fractional and nonlocal Mean Field Games https://arxiv.org/abs/1706.06233 [1706.06233] Mean-field optimal control problem of SDDEs driven by fractional Brownian motion Abstract page for arXiv paper 1706.06233: Mean-field optimal control problem of SDDEs driven by fractional Brownian motion https://www.mcgill.ca/cim/channels/event/mean-field-games-models-price-formation-327791 Mean-field games models of price formation | Centre for Intelligent Machines - McGill University NOTICE: This event has been cancelled Virtual Informal Systems Seminar (VISS) Centre for Intelligent Machines (CIM) and Groupe d'Etudes et de Recherche en... mean field games https://question2answer.org/qa/63847/unable-solve-recognized-value-custom-input-field-registering What does it mean if I get "Unable To Solve" or "Not Recognized" as value for my custom input field... I have a custom field for extra information on the register page, but in most cases I get ... . I cannot reproduce it by making test registrations. https://brobible.com/sports/article/mean-tweets-college-football-field-goal-kickers-katie-nolan/ Football Fans Who Sent Mean Tweets To College Kickers Attempt To Make Real Field Goals And Fail... Jan 11, 2019 - Kicking is easily one of the most underrated positions in football. It's something that everyone takes for granted. Kickers have one job and that job's to https://arxiv.org/abs/nucl-th/0701020 [nucl-th/0701020] Shell Model and Mean-Field Description of Band Termination Abstract page for arXiv paper nucl-th/0701020: Shell Model and Mean-Field Description of Band Termination shell model https://www.umass.edu/mathematics-statistics/events/weiqi-chu-learning-interaction-kernels-mean-field-models Weiqi Chu: Learning Interaction Kernels from Mean-Field Models : Department of Mathematics and... Consider a complex system of a vast number of interacting agents, which can give rise to emergent collective behaviors such as bird flocking, fish swarming,... https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2012/mean-field-variational-bayes-approaches-selection-linear-models Mean field variational Bayes approaches to the selection of linear models | School of Mathematics... to the selection https://www.advisory.com/blog/2020/04/field-hospitals The 3 types of Covid-19 field hospitals (and what they mean for your organisation) Field hospitals have sprung up around the world to expand capacity and care for Covid-19 patients. Advisory Board's Rachel Longhurst and Rachel Zuckerman dug... https://arxiv.org/abs/nucl-th/0508031 [nucl-th/0508031] The properties of kaonic nuclei in relativistic mean-field theory Abstract page for arXiv paper nucl-th/0508031: The properties of kaonic nuclei in relativistic mean-field theory https://www.osti.gov/pages/biblio/1597101-superheavy-nuclei-microscopic-collective-hamiltonian-approach-impact-beyond-mean-field-correlations-ground-state-fission-properties Superheavy nuclei in a microscopic collective Hamiltonian approach: The impact of beyond-mean-field... The U.S. Department of Energy's Office of Scientific and Technical Information https://openreview.net/forum?id=PQQp7AJwz3 Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural... We introduce Particle-SDCA, a gradient-based optimization algorithm for two-layer neural networks in the mean field regime that achieves exponential... coordinate ascent https://www.kjzz.org/2020-03-04/content-1469401-what-does-shift-presidential-field-mean-arizona-democratic-party What Does Shift In Presidential Field Mean For AZ Democratic Party? Jun 14, 2024 - Super Tuesday has come and gone, and already the Democratic presidential field has shifted. So what does this mean for Arizona and our own Democratic primary?... shift in presidential https://www.question2answer.org/qa/24702/what-does-the-flags-field-mean-in-the-qa_users-table What does the "Flags" field mean in the qa_users table? - Question2Answer Q&A In the MySQL database, qa_users table, there is a "Flags" field with a number assigned to each ... their access or if they've confirmed their email? https://openreview.net/forum?id=E8JRswdyDR Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems | OpenReview Solving large-scale vehicle routing problems (VRPs) is NP-hard and poses a computational challenge in numerous applications such as logistics. Meanwhile,... https://deepai.org/publication/multi-agent-reinforcement-learning-via-mean-field-control-common-noise-major-agents-and-approximation-properties Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and... Mar 19, 2023 - 03/19/23 - Recently, mean field control (MFC) has provided a tractable and theoretically founded approach to otherwise difficult cooperative ... https://arxiv.org/abs/2002.01987 [2002.01987] Function approximation by neural nets in the mean-field regime: Entropic... Abstract page for arXiv paper 2002.01987: Function approximation by neural nets in the mean-field regime: Entropic regularization and controlled McKean-Vlasov... https://arxiv.org/abs/2111.07643 [2111.07643] Mean-field models of dynamics on networks via moment closure: an automated procedure Abstract page for arXiv paper 2111.07643: Mean-field models of dynamics on networks via moment closure: an automated procedure https://openreview.net/forum?id=DvV_blKLiB4 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical... We propose a novel MFVI approach to deep image prior for medical image post-processing and show its effectiveness on different tasks and modalities. https://arxiv.org/abs/2110.00941v1 [2110.00941v1] Experimental Determination of Multi-Qubit Ground State via a Cluster Mean-Field... Abstract page for arXiv paper 2110.00941v1: Experimental Determination of Multi-Qubit Ground State via a Cluster Mean-Field Algorithm