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Control Theory

158 papers

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Papers

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems L4DC 2025 First Order Model-Based RL through Decoupled Backpropagation CoRL 2025 Flow matching for stochastic linear control systems L4DC 2025 Geometric Contact Flows: Contactomorphisms for Dynamics and Control ICML 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions L4DC 2025 Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks AISTATS 2025 Learning Safe Control via On-the-Fly Bandit Exploration ICML 2025 Linear System Identification from Snapshot Data by Schrodinger bridge L4DC 2025 Logarithmic Regret for Nonlinear Control L4DC 2025 Lyapunov Perception Contracts for Operating Design Domains L4DC 2025 Meta-Learning for Adaptive Control with Automated Mirror Descent L4DC 2025 Mobi-π: Mobilizing Your Robot Learning Policy CoRL 2025 Model predictive control is almost optimal for restless bandits COLT 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies CoRL 2025 Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability L4DC 2025 Regret-Free Reinforcement Learning for Temporal Logic Specifications ICML 2025 Reinforcement Learning for Quantum Control under Physical Constraints ICML 2025 Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training-Time Safety Violations L4DC 2025 Safe PDE Boundary Control with Neural Operators L4DC 2025 Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics ICML 2025 The Pitfalls of Imitation Learning when Actions are Continuous COLT 2025 ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation CoRL 2024 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation ICML 2024