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Optimal Control

225 directly classified papers

Papers per year

Papers

Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Optimal deep learning of holomorphic operators between Banach spaces NIPS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces NIPS 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
Zero-Shot Transfer of Neural ODEs NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Tight Rates for Bandit Control Beyond Quadratics NIPS 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Neural Time-Reversed Generalized Riccati Equation AAAI 2024
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023
Simultaneous Machine Translation with Tailored Reference EMNLP 2023
Non-stationary Online Learning with Memory and Non-stochastic Control JMLR 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023
Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023
Learning Control-Oriented Dynamical Structure from Data ICML 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023
Active Exploration via Experiment Design in Markov Chains AISTATS 2023