Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Esmaeili, Babak, Niknejad, Nariman, Modares, Hamidreza |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Data-Driven Motion Planning for Uncertain Nonlinear Systems
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Robust Model Predictive Control Design for Autonomous Vehicles with Perception-based Observers
by: Niknejad, Nariman, et al.
Published: (2025)
by: Niknejad, Nariman, et al.
Published: (2025)
Direct Data Driven Control Using Noisy Measurements
by: Esmzad, Ramin, et al.
Published: (2025)
by: Esmzad, Ramin, et al.
Published: (2025)
Risk‐aware safe reinforcement learning for control of stochastic linear systems
by: Babak Esmaeili, et al.
Published: (2025)
by: Babak Esmaeili, et al.
Published: (2025)
Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)
by: Prajapat, Manish, et al.
Published: (2025)
Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
by: Omidi, Saber, et al.
Published: (2025)
by: Omidi, Saber, et al.
Published: (2025)
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
by: Esmzad, Ramin, et al.
Published: (2024)
by: Esmzad, Ramin, et al.
Published: (2024)
Safe Guaranteed Exploration for Non-linear Systems
by: Prajapat, Manish, et al.
Published: (2024)
by: Prajapat, Manish, et al.
Published: (2024)
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)
by: Lu, Yiwen, et al.
Published: (2023)
Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
by: Esmzad, Ramin, et al.
Published: (2024)
by: Esmzad, Ramin, et al.
Published: (2024)
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
by: Ferlez, James, et al.
Published: (2020)
by: Ferlez, James, et al.
Published: (2020)
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
by: Vertovec, Nikolaus, et al.
Published: (2025)
by: Vertovec, Nikolaus, et al.
Published: (2025)
Integration of Prior Knowledge into Direct Learning for Safe Control of Linear Systems
by: Modares, Amir, et al.
Published: (2025)
by: Modares, Amir, et al.
Published: (2025)
Online Control-Informed Learning
by: Liang, Zihao, et al.
Published: (2024)
by: Liang, Zihao, et al.
Published: (2024)
Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)
by: Elamvazhuthi, Karthik, et al.
Published: (2024)
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
by: Long, Kehan, et al.
Published: (2025)
by: Long, Kehan, et al.
Published: (2025)
Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)
by: Elamvazhuthi, Karthik, et al.
Published: (2025)
Model Predictive Path Integral PID Control for Learning-Based Path Following
by: Kato, Teruki, et al.
Published: (2026)
by: Kato, Teruki, et al.
Published: (2026)
Unifying Direct and Indirect Learning for Safe Control of Linear Systems
by: Modares, Amir, et al.
Published: (2025)
by: Modares, Amir, et al.
Published: (2025)
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025)
by: Esmzad, Ramin, et al.
Published: (2025)
On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
Introduction to Online Control
by: Hazan, Elad, et al.
Published: (2022)
by: Hazan, Elad, et al.
Published: (2022)
VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis
by: Leeman, Antoine P., et al.
Published: (2026)
by: Leeman, Antoine P., et al.
Published: (2026)
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
by: Bevanda, Petar, et al.
Published: (2024)
by: Bevanda, Petar, et al.
Published: (2024)
Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
by: Zhang, Songyuan, et al.
Published: (2025)
by: Zhang, Songyuan, et al.
Published: (2025)
Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
by: Ingole, Deepak, et al.
Published: (2025)
by: Ingole, Deepak, et al.
Published: (2025)
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
by: Hu, Hanjiang, et al.
Published: (2024)
by: Hu, Hanjiang, et al.
Published: (2024)
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)
by: Abtahi, Mohammad, et al.
Published: (2025)
Distributionally Robust Policy and Lyapunov-Certificate Learning
by: Long, Kehan, et al.
Published: (2024)
by: Long, Kehan, et al.
Published: (2024)
Unifying Entropy Regularization in Optimal Control: From and Back to Classical Objectives via Iterated Soft Policies and Path Integral Solutions
by: Bhole, Ajinkya, et al.
Published: (2025)
by: Bhole, Ajinkya, et al.
Published: (2025)
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
by: Srinivasan, Anutam, et al.
Published: (2026)
by: Srinivasan, Anutam, et al.
Published: (2026)
Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)
by: Wang, Zhengmiao, et al.
Published: (2026)
Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)
by: Zhou, Tianyu, et al.
Published: (2025)
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets
by: Modares, Amir, et al.
Published: (2025)
by: Modares, Amir, et al.
Published: (2025)
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)
by: Noori, Amir, et al.
Published: (2024)
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
by: Shen, Keyi, et al.
Published: (2026)
by: Shen, Keyi, et al.
Published: (2026)
Similar Items
-
SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025) -
Data-Driven Motion Planning for Uncertain Nonlinear Systems
by: Esmaeili, Babak, et al.
Published: (2025) -
Robust Model Predictive Control Design for Autonomous Vehicles with Perception-based Observers
by: Niknejad, Nariman, et al.
Published: (2025) -
Direct Data Driven Control Using Noisy Measurements
by: Esmzad, Ramin, et al.
Published: (2025) -
Risk‐aware safe reinforcement learning for control of stochastic linear systems
by: Babak Esmaeili, et al.
Published: (2025)