Papers
546 papers found
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
Lukas Kesper, Sebastian Trimpe, Dominik Baumann
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space
Muhammad Abdullah Naeem, Miroslav Pajic
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft
Bence Zsombor Hadlaczky, Noémi Friedman, Béla Takarics et al.
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Adaptive Model Predictive Control by Learning Classifiers
Rel Guzman, Rafael Oliveira, Fabio Ramos
Adaptive Stochastic MPC under Unknown Noise Distribution
Charis Stamouli, Anastasios Tsiamis, Manfred Morari et al.
Adaptive Variants of Optimal Feedback Policies
Brett Lopez, Jean-Jacques Slotine
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
Zhigen Zhao, Simiao Zuo, Tuo Zhao et al.
Adversarially Robust Stability Certificates can be Sample-Efficient
Thomas Zhang, Stephen Tu, Nicholas Boffi et al.
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees
Milad Farsi, Yinan Li, Ye Yuan et al.
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
Thomas Lew, Lucas Janson, Riccardo Bonalli et al.
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems
Lukas Brunke, Siqi Zhou, Angela P. Schoellig
Block Contextual MDPs for Continual Learning
Shagun Sodhani, Franziska Meier, Joelle Pineau et al.
Bounding the Difference Between Model Predictive Control and Neural Networks
Ross Drummond, Stephen Duncan, Mathew Turner et al.
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui, Scott Niekum, Abhinav Gupta et al.
Certified Robustness via Locally Biased Randomized Smoothing
Brendon G. Anderson, Somayeh Sojoudi
Clustering-based Mode Reduction for Markov Jump Systems
Zhe Du, Necmiye Ozay, Laura Balzano
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control
Francesco De Lellis, Marco Coraggio, Giovanni Russo et al.
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
Data-Augmented Contact Model for Rigid Body Simulation
Yifeng Jiang, Jiazheng Sun, C. Karen Liu
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings
Adam Thorpe, Thomas Lew, Meeko Oishi et al.
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates
Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo et al.