Papers
546 papers found
Faster Policy Learning with Continuous-Time Gradients
Samuel Ainsworth, Kendall Lowrey, John Thickstun et al.
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning
Simone Totaro, Anders Jonsson
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis
Murad Abu-Khalaf, Sertac Karaman, Daniela Rus
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi et al.
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
Aaron Havens, Girish Chowdhary
Generating Adversarial Disturbances for Controller Verification
Udaya Ghai, David Snyder, Anirudha Majumdar et al.
Graph Neural Networks for Distributed Linear-Quadratic Control
Fernando Gama, Somayeh Sojoudi
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
Jingxi Xu, Bruce Lee, Nikolai Matni et al.
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions
Peng Zhao, Lijun Zhang
Input Convex Neural Networks for Building MPC
Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia et al.
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
Emilio T. Maddalena, Paul Scharnhorst, Yuning Jiang et al.
Learning Approximate Forward Reachable Sets Using Separating Kernels
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs
Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system
Ioannis Proimadis, Yorick Broens, Roland Tóth et al.
Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing
Matthieu Barreau, John Liu, Karl Henrik Johansson
Learning Finite-Dimensional Representations For Koopman Operators
Mohammad Khosravi
Learning How to Solve “Bubble Ball”
Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli
Learning local modules in dynamic networks
Paul M.J. Van den Hof, Karthik R. Ramaswamy
Learning Recurrent Neural Net Models of Nonlinear Systems
Joshua Hanson, Maxim Raginsky, Eduardo Sontag
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
Lenart Treven, Sebastian Curi, Mojmír Mutný et al.
Learning the Dynamics of Time Delay Systems with Trainable Delays
Xunbi A. Ji, Tamás G. Molnár, Sergei S. Avedisov et al.
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
Meghan Booker, Anirudha Majumdar
Learning Visually Guided Latent Actions for Assistive Teleoperation
Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey et al.