Optimal Control

Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023 Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 Learnable Path in Neural Controlled Differential Equations AAAI 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023 Non-stationary Online Learning with Memory and Non-stochastic Control JMLR 2023 Online Control for Meta-optimization NeurIPS 2023 Online Reinforcement Learning in Stochastic Continuous-Time Systems COLT 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023 Reversible and irreversible bracket-based dynamics for deep graph neural networks NeurIPS 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 Simultaneous Machine Translation with Tailored Reference EMNLP 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022 Confident Approximate Policy Iteration for Efficient Local Planning in q^π-realizable MDPs NeurIPS 2022 Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022