Cover Image

Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kushwaha, Dhruv S., Biron, Zoleikha A.
Format:	Preprint
Published:	2026
Subjects:	Robotics Machine Learning Systems and Control 93E99 A.1; I.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lyapunov Constrained Soft Actor-Critic (LC-SAC) using Koopman Operator Theory for Quadrotor Trajectory Tracking
by: Kushwaha, Dhruv S., et al.
Published: (2026)

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions
by: Kushwaha, Dhruv Singh, et al.
Published: (2025)

Control Barrier Corridors: From Safety Functions to Safe Sets
by: Arslan, Ömür, et al.
Published: (2026)

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
by: Farimani, Mohsen Jalaeian, et al.
Published: (2026)

A Moreau Envelope Approach for LQR Meta-Policy Estimation
by: Aravind, Ashwin, et al.
Published: (2024)

Active Sensing Subserves Task-Level Control
by: Lamperski, Andrew, et al.
Published: (2026)

Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning
by: Kombo, Stella, et al.
Published: (2025)

Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)

Synchronization of Kuramoto oscillators via HEOL, and a discussion on AI
by: Delaleau, Emmanuel, et al.
Published: (2025)

Robust Geospatial Coordination of Multi-Agent Communications Networks Under Attrition
by: Kent, Jonathan S., et al.
Published: (2025)

Centralized Reduction of Decentralized Stochastic Control Models and their weak-Feller Regularity
by: Mrani-Zentar, Omar, et al.
Published: (2024)

Coordinated Multi-Robot Trajectory Tracking Control over Sampled Communication
by: Rossi, Enrica, et al.
Published: (2021)

RCUKF: Data-Driven Modeling Meets Bayesian Estimation
by: Anurag, Kumar, et al.
Published: (2025)

Formalising the intentional stance 2: a coinductive approach
by: McGregor, Simon, et al.
Published: (2025)

Formalising the intentional stance 1: attributing goals and beliefs to stochastic processes
by: McGregor, Simon, et al.
Published: (2024)

Reinforcement Learning for Infinite-Dimensional Systems
by: Zhang, Wei, et al.
Published: (2024)

Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases
by: Lieskovský, Juraj, et al.
Published: (2025)

Haptic-based Complementary Filter for Rigid Body Rotations
by: Kumar, Amit, et al.
Published: (2025)

ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
by: Shamass, Faiq
Published: (2026)

Robust Probability Hypothesis Density Filtering: Theory and Algorithms
by: Lei, Ming, et al.
Published: (2025)

A Reinforcement Learning Approach to Sensing Design in Resource-Constrained Wireless Networked Control Systems
by: Ballotta, Luca, et al.
Published: (2022)

On the continuity and smoothness of the value function in reinforcement learning and optimal control
by: Harder, Hans, et al.
Published: (2024)

Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies
by: Mrani-Zentar, Omar, et al.
Published: (2026)

Stability Analysis of Distributed Estimators for Large-Scale Interconnected Systems: Time-Varying and Time-Invariant Cases
by: Hu, Zhongyao, et al.
Published: (2024)

Fully distributed consensus control for stochastic multi-agent systems under undirected and directed topologies
by: Hou, Xuping, et al.
Published: (2026)

Communication, Sensing and Control integrated Closed-loop System: Modeling, Control Design and Resource Allocation
by: Meng, Zeyang, et al.
Published: (2024)

Globally Solving Unbalanced Optimal Transport and Density Control for Gaussian Distributions
by: Nakashima, Haruto, et al.
Published: (2026)

Nonparametric Sparse Online Learning of the Koopman Operator
by: Hou, Boya, et al.
Published: (2024)

The Milieu, Science & Logic of Feedback Control
by: Bitmead, Robert R.
Published: (2025)

Developing the Reliable Shallow Supervised Learning for Thermal Comfort using ASHRAE RP-884 and ASHRAE Global Thermal Comfort Database II
by: Karyono, Kanisius, et al.
Published: (2023)

End-to-End Design and Validation of a Low-Cost Stewart Platform with Nonlinear Estimation and Control
by: Cinun, Benedictus C. G., et al.
Published: (2025)

Adaptive Dual-Headway Unicycle Pose Control and Motion Prediction for Optimal Sampling-Based Feedback Motion Planning
by: İşleyen, Aykut, et al.
Published: (2024)

Steady State Distributed Kalman Filter
by: Rego, Francisco
Published: (2026)

Ontology Neural Network and ORTSF: A Framework for Topological Reasoning and Delay-Robust Control
by: Oh, Jaehong
Published: (2025)

Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control
by: Amirabadi, Roya Khalili, et al.
Published: (2026)

Sparse Representations of Dynamical Networks: A Coprime Factorization Approach
by: Sabău, Şerban, et al.
Published: (2022)

Deep Learning for Continuous-Time Stochastic Control with Jumps
by: Cheridito, Patrick, et al.
Published: (2025)

Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
by: Farooq, Ahmad, et al.
Published: (2025)

Energy Aware and Safe Path Planning for Unmanned Aircraft Systems
by: Gasche, Sebastian, et al.
Published: (2025)

Can Competition Outperform Collaboration? The Role of Misbehaving Agents
by: Ballotta, Luca, et al.
Published: (2022)