Papers
546 papers found
Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR
Leonardo Felipe Toso, Donglin Zhan, James Anderson et al.
Minimax dual control with finite-dimensional information state
Olle Kjellqvist
Mixing classifiers to alleviate the accuracy-robustness trade-off
Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
MPC-inspired reinforcement learning for verifiable model-free control
Yiwen Lu, Zishuo Li, Yihan Zhou et al.
Multi-agent assignment via state augmented reinforcement learning
Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana et al.
Multi-agent coverage control with transient behavior consideration
Runyu Zhang, Haitong Ma, Na Li
Multi-modal conformal prediction regions by optimizing convex shape templates
Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam et al.
Neural operators for boundary stabilization of stop-and-go traffic
Yihuai Zhang, Ruiguo Zhong, Huan Yu
Neural processes with event triggers for fast adaptation to changes
Paul Brunzema, Paul Kruse, Sebastian Trimpe
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification
Bruce Lee, Anders Rantzer, Nikolai Matni
Nonconvex scenario optimization for data-driven reachability
Elizabeth Dietrich, Alex Devonport, Murat Arcak
Online decision making with history-average dependent costs
Vijeth Hebbar, Cedric Langbort
On task-relevant loss functions in meta-reinforcement learning
Jaeuk Shin, Giho Kim, Howon Lee et al.
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the uniqueness of solution for the Bellman equation of LTL objectives
Zetong Xuan, Alper Bozkurt, Miroslav Pajic et al.
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining
Henrik Hose, Alexander Gräfe, Sebastian Trimpe
Parameterized fast and safe tracking (FaSTrack) using DeepReach
Hyun Joe Jeong, Zheng Gong, Somil Bansal et al.
PDE control gym: A benchmark for data-driven boundary control of partial differential equations
Luke Bhan, Yuexin Bian, Miroslav Krstic et al.
Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes
Rui Dai, Giulio Evangelisti, Sandra Hirche
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models
Kaiyuan Tan, Peilun Li, Thomas Beckers
Physics-informed Neural Networks with Unknown Measurement Noise
Philipp Pilar, Niklas Wahlström
Piecewise regression via mixed-integer programming for MPC
Dieter Teichrib, Moritz Schulze Darup
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control
Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit et al.
Pointwise-in-time diagnostics for reinforcement learning during training and runtime
Noel Brindise, Andres Posada Moreno, Cedric Langbort et al.