Cover Image

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pfrommer, Daniel, Padmanabhan, Swati, Ahn, Kwangjun, Umenberger, Jack, Marcucci, Tobia, Mhammedi, Zakaria, Jadbabaie, Ali
Format:	Preprint
Published:	2023
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control
by: Pfrommer, Daniel, et al.
Published: (2024)

The Pitfalls of Imitation Learning when Actions are Continuous
by: Simchowitz, Max, et al.
Published: (2025)

A Test-Function Approach to Incremental Stability
by: Pfrommer, Daniel, et al.
Published: (2025)

Shortest Paths in Graphs of Convex Sets
by: Marcucci, Tobia, et al.
Published: (2021)

How to escape sharp minima with random perturbations
by: Ahn, Kwangjun, et al.
Published: (2023)

Online Learning for Supervisory Switching Control
by: Sun, Haoyuan, et al.
Published: (2026)

Robust and learning-augmented algorithms for degradation-aware battery optimization
by: Umenberger, Jack, et al.
Published: (2026)

A New Semidefinite Relaxation for Linear and Piecewise-Affine Optimal Control with Time Scaling
by: Yang, Lujie, et al.
Published: (2025)

BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning
by: Liu, Ruohong, et al.
Published: (2025)

Constrained Diffusers for Safe Planning and Control
by: Zhang, Jichen, et al.
Published: (2025)

Belief Samples Are All You Need For Social Learning
by: JafariNodeh, Mahyar, et al.
Published: (2024)

Fast Path Planning Through Large Collections of Safe Boxes
by: Marcucci, Tobia, et al.
Published: (2023)

Online Convex Optimization with a Separation Oracle
by: Mhammedi, Zakaria
Published: (2024)

A Unified and Scalable Method for Optimization over Graphs of Convex Sets
by: Marcucci, Tobia
Published: (2025)

Sample-Efficient and Smooth Cross-Entropy Method Model Predictive Control Using Deterministic Samples
by: Walker, Markus, et al.
Published: (2025)

Smooth Sampling-Based Model Predictive Control Using Deterministic Samples
by: Walker, Markus, et al.
Published: (2026)

A least-square method for non-asymptotic identification in linear switching control
by: Sun, Haoyuan, et al.
Published: (2024)

Fully Unconstrained Online Learning
by: Cutkosky, Ashok, et al.
Published: (2024)

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
by: Jiang, Ruichen, et al.
Published: (2026)

Multiple Estimation Models for Discrete-time Adaptive Iterative Learning Control
by: Padmanabhan, Ram, et al.
Published: (2022)

Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control
by: Kim, Seungtaek, et al.
Published: (2025)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)

Linear attention is (maybe) all you need (to understand transformer optimization)
by: Ahn, Kwangjun, et al.
Published: (2023)

Estimating True Beliefs in Opinion Dynamics with Social Pressure
by: Tang, Jennifer, et al.
Published: (2023)

Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks
by: Tang, Jennifer, et al.
Published: (2023)

Ignore Drift, Embrace Simplicity: Constrained Nonlinear Control through Driftless Approximation
by: Padmanabhan, Ram, et al.
Published: (2025)

A Unified Bayesian Framework for Data-Driven Smoothing, Prediction, and Control
by: Yin, Mingzhou, et al.
Published: (2025)

Optimal estimation in spatially distributed systems: how far to share measurements from?
by: Arbelaiz, Juncal, et al.
Published: (2024)

Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions
by: Mhammedi, Zakaria
Published: (2024)

Sampling-based Model Predictive Control Using Trust Regions
by: Walker, Markus, et al.
Published: (2026)

Safety-Guaranteed Imitation Learning from Nonlinear Model Predictive Control for Spacecraft Close Proximity Operations
by: Meinert, Alexander, et al.
Published: (2026)

Adaptive Artificial Time Delay Control for Robotic Systems
by: Dantu, Swati
Published: (2024)

Non-submodular Visual Attention for Robot Navigation
by: Vafaee, Reza, et al.
Published: (2025)

Action Chunking and Exploratory Data Collection Yield Exponential Improvements in Behavior Cloning for Continuous Control
by: Zhang, Thomas T., et al.
Published: (2025)

Adam with model exponential moving average is effective for nonconvex optimization
by: Ahn, Kwangjun, et al.
Published: (2024)

Reinforcement Learning Ship Autopilot: Sample efficient and Model Predictive Control-based Approach
by: Cui, Yunduan, et al.
Published: (2019)

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning
by: Kaypak, Ali Umut, et al.
Published: (2026)

Steering Opinion Dynamics in Signed Time-Varying Networks via External Control Input
by: Priya, Swati, et al.
Published: (2025)

Decentralized Robust Data-driven Predictive Control for Smoothing Mixed Traffic Flow
by: Shang, Xu, et al.
Published: (2024)

Sampled-Data Primal-Dual Gradient Dynamics in Model Predictive Control
by: Moriyasu, Ryuta, et al.
Published: (2024)