optimal control

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control AAAI 2022 Imbedding Deep Neural Networks ICLR 2022 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022 Meta Value Learning for Fast Policy-Centric Optimal Motion Planning RSS 2022 Myriad: a real-world testbed to bridge trajectory optimization and deep learning NeurIPS 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Neural Solvers for Fast and Accurate Numerical Optimal Control ICLR 2022 Online Estimation and Control with Optimal Pathlength Regret L4DC 2022 On the Effectiveness of Iterative Learning Control L4DC 2022 Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints UAI 2022 Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022 Parameterized Differential Dynamic Programming RSS 2022 Phase transitions in when feedback is useful NeurIPS 2022 Rate-Optimal Online Convex Optimization in Adaptive Linear Control NeurIPS 2022 Safe Control with Minimal Regret L4DC 2022 Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NeurIPS 2022 Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022 Sparsity in Partially Controllable Linear Systems ICML 2022 The least-control principle for local learning at equilibrium NeurIPS 2022 ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022 Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021