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Training Generative Adversarial Networks via Stochastic Nash Games
Stochastic Stability of Discrete-time Phase-coupled Oscillators over Uncertain and Random Networks
Mean Field Behavior of Collaborative Multiagent Foragers
Distributed Demand Side Management With Stochastic Wind Power Forecasting
Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways
Robust Optimal Control for Demand Side Management of Multi-Carrier Microgrids
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs
Online Multi-Robot Task Assignment with Stochastic Blockages
The Symmetric Exclusion Process and the Gausian Free Field on compact Riemannian manifolds
A Distributed Augmented Lagrangian Method over Stochastic Networks for Economic Dispatch of Large-Scale Energy Systems
A distributed forward-backward algorithm for stochastic generalized Nash equilibrium seeking
Run-and-Tumble Motion: The Role of Reversibility
Learning Optimal Controllers for Linear Systems with Multiplicative Noise via Policy Gradient
Distributed stochastic reserve scheduling in AC power systems with uncertain generation
Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems
Detection-filter representations for Markov jump diffusions
On martingales and recursive optimal state estimation
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