Co-occurring keywords · papers mentioning both
Papers
Adaptive Variants of Optimal Feedback Policies
L4DC 2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
NeurIPS 2022
Learning-Enabled Robust Control with Noisy Measurements
L4DC 2022
Nonparametric adaptive control and prediction: theory and randomized algorithms
JMLR 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
NeurIPS 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
AISTATS 2022
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control
COLT 2022
Accelerated Learning with Robustness to Adversarial Regressors
L4DC 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
RSS 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
ARDL - A Library for Adaptive Robotic Dynamics Learning
L4DC 2021
Contraction L1-Adaptive Control using Gaussian Processes
L4DC 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Go with the flow: Adaptive control for Neural ODEs
ICLR 2021
Minimax Adaptive Control for a Finite Set of Linear Systems
L4DC 2021
Regret Bounds for Adaptive Nonlinear Control
L4DC 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law
AAAI 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
Towards a Dimension-Free Understanding of Adaptive Linear Control
COLT 2021
Dynamic Control of Stochastic Evolution: A Deep Reinforcement Learning Approach to Adaptively Targeting Emergent Drug Resistance
JMLR 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
Learning Stability Certificates from Data
CoRL 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
NeurIPS 2020
Naive Exploration is Optimal for Online LQR
ICML 2020
Provably Efficient Model-based Policy Adaptation
ICML 2020