linear quadratic control

Adversarially Robust Multitask Adaptive Control L4DC 2026 Interacting Particle Systems for Fast Linear Quadratic RL L4DC 2025 Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control AAAI 2025 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification L4DC 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Approximate Midpoint Policy Iteration for Linear Quadratic Control L4DC 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021 Graph Neural Networks for Distributed Linear-Quadratic Control L4DC 2021 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Logarithmic Regret for Adversarial Online Control ICML 2020 Optimistic robust linear quadratic dual control L4DC 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Riccati updates for online linear quadratic control L4DC 2020 Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019 Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018 Online Linear Quadratic Control ICML 2018 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012