Control Theory

A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation ICML 2024 How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective ICML 2024 Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024 Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024 Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 Learning H-Infinity Locomotion Control CoRL 2024 Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis ICML 2024 Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces ICML 2024 Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation ICML 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models CoRL 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification ICML 2024 Position: Automatic Environment Shaping is the Next Frontier in RL ICML 2024 Provably Safe Neural Network Controllers via Differential Dynamic Logic NeurIPS 2024 Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems CoRL 2024 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning L4DC 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems NeurIPS 2022 Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022