Cover Image

Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety Concerns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsai, Chieh, Zahed, Muhammad Junayed Hasan, Hariri, Salim, Rastgoftar, Hossein
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2026)

A Physics-Informed Fixed Skyroad Model for Continuous UAS Traffic Management (C-UTM)
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2025)

Deep Neural Network-Based Aerial Transport in the Presence of Cooperative and Uncooperative UAS
by: Zahed, Muhammad Junayed Hasan, et al.
Published: (2025)

Aerial-based Crisis Management Center (ACMC)
by: Rastgoftar, Hossein, et al.
Published: (2024)

Deep Q-Learning-Based Gain Scheduling for Nonlinear Quadcopter Dynamics
by: Rastgoftar, Hossein, et al.
Published: (2026)

Safety-Critical Reinforcement Learning with Viability-Based Action Shielding for Hypersonic Longitudinal Flight
by: Rastgoftar, Hossein
Published: (2026)

Finite-State Decentralized Policy-Based Control With Guaranteed Ground Coverage
by: Rastgoftar, Hossein
Published: (2026)

Containment Control Approach for Steering Opinion in a Social Network
by: Rastgoftar, Hossein
Published: (2025)

RACF: A Resilient Autonomous Car Framework with Object Distance Correction
by: Tsai, Chieh, et al.
Published: (2026)

Steering Opinion through Dynamic Stackelberg Optimization
by: Rastgoftar, Hossein
Published: (2025)

Safe Human-UAS Collaboration Abstraction
by: Rastgoftar, Hossein
Published: (2024)

Experimental Validation of Decentralized Affine Transformation
by: Mazmanyan, Garegin, et al.
Published: (2025)

Sandwich Approach for Motion Planning and Control
by: Ramezani, Mohamadreza, et al.
Published: (2023)

Multi-Agent Coordination Fluid Flow Modeling and Experimental Evaluation
by: Uppaluru, Harshvardhan, et al.
Published: (2023)

An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception
by: Abrar, Murad Mehrab, et al.
Published: (2023)

Affine Transformable Unmanned Ground Vehicle
by: Mathias, Aron, et al.
Published: (2026)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)

Reinforcement Learning for Autonomous Point-to-Point UAV Navigation
by: Oyinlola, Salim, et al.
Published: (2025)

Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient Flow
by: Mestres, Pol, et al.
Published: (2025)

Model-Free Reinforcement Learning for Automated Fluid Administration in Critical Care
by: Estiri, Elham, et al.
Published: (2024)

Learning Robust Safety Controllers for Uncertain Input-Affine Polynomial Systems
by: Akbarzadeh, Omid, et al.
Published: (2024)

GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning
by: Yang, Hsin-Jung, et al.
Published: (2024)

Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)

Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees
by: Yuan, Zhenyi, et al.
Published: (2022)

Deep Learning Safety Concerns in Automated Driving Perception
by: Abrecht, Stephanie, et al.
Published: (2023)

Profit Maximization for Electric Vehicle Charging Stations Using Multiagent Reinforcement Learning
by: Jiang, Kun-Yan, et al.
Published: (2026)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
by: Honari, Homayoun, et al.
Published: (2024)

Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning
by: Vaidya, Varad, et al.
Published: (2025)

Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning
by: Banker, Thomas, et al.
Published: (2025)

Autonomous Vehicle Security: A Deep Dive into Threat Modeling
by: Yousseef, Amal, et al.
Published: (2024)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
by: Choi, Jason J., et al.
Published: (2025)

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
by: Bian, Yuexin, et al.
Published: (2024)

Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
by: Wu, Yin, et al.
Published: (2026)

Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control
by: Zhou, Jingyuan, et al.
Published: (2024)

Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
by: Amiri, Mohammad Hossein Nejati, et al.
Published: (2025)

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
by: Baheri, Ali
Published: (2025)

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)

Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)

SEROAISE: Advancing ROA Estimation for ReLU and PWA Dynamics through Estimating Certified Invariant Sets
by: Samanipour, Pouya, et al.
Published: (2025)

Ensuring Safety in Target Pursuit Control: A CBF-Safe Reinforcement Learning Approach
by: Deng, Yaosheng, et al.
Published: (2024)