Cover Image

The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yujie, Zheng, Zhilong, Tomizuka, Masayoshi, Liu, Changliu, Li, Shengbo Eben
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration
by: Yang, Yujie, et al.
Published: (2026)

On the Stability of Datatic Control Systems
by: Yang, Yujie, et al.
Published: (2024)

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

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis
by: Yang, Yujie, et al.
Published: (2024)

Controllability Test for Nonlinear Datatic Systems
by: Yang, Yujie, et al.
Published: (2024)

Algebraic Control: Complete Stable Inversion with Necessary and Sufficient Conditions
by: Kürkçü, Burak, et al.
Published: (2024)

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
by: Zhang, Tianqi, et al.
Published: (2025)

Nonparametric Inverse Dynamic Models for Multimodal Interactive Robots
by: Haninger, Kevin, et al.
Published: (2019)

Canonical Form of Datatic Description in Control Systems
by: Zhan, Guojian, et al.
Published: (2024)

Bisimulation metric for Model Predictive Control
by: Shimizu, Yutaka, et al.
Published: (2024)

Algorithm Design and Comparative Test of Natural Gradient Gaussian Approximation Filter
by: Cao, Wenhan, et al.
Published: (2025)

Natural Gradient Gaussian Approximation Filter with Positive Definiteness Guarantee
by: Zhang, Tianyi, et al.
Published: (2026)

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
by: Hu, Hanjiang, et al.
Published: (2024)

DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking
by: Li, Yichuan, et al.
Published: (2024)

Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation
by: Cao, Wenhan, et al.
Published: (2024)

Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning
by: Hu, Hanjiang, et al.
Published: (2025)

Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
by: Li, Xiao, et al.
Published: (2025)

An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability
by: Zhan, Guojian, et al.
Published: (2024)

Convolutional Bayesian Filtering
by: Cao, Wenhan, et al.
Published: (2024)

DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning
by: Zhao, Shuqi, et al.
Published: (2025)

On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)

Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems
by: He, Weixian, et al.
Published: (2025)

On the Optimization Landscape of Observer-based Dynamic Linear Quadratic Control
by: Duan, Jingliang, et al.
Published: (2026)

Feasibility Evaluation of Quadratic Programs for Constrained Control
by: Rousseas, Panagiotis, et al.
Published: (2025)

Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations
by: Cheng, Huixuan, et al.
Published: (2024)

Safety Index Synthesis with State-dependent Control Space
by: Chen, Rui, et al.
Published: (2023)

Reinforcement Learning based Constrained Optimal Control: an Interpretable Reward Design
by: Ni, Jingjie, et al.
Published: (2025)

Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
by: Bloor, Maximilian, et al.
Published: (2025)

Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)

A Tutorial on the Non-Asymptotic Theory of System Identification
by: Ziemann, Ingvar, et al.
Published: (2023)

Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems
by: Lei, Yuheng, et al.
Published: (2022)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic
by: Chari, Anirudh, et al.
Published: (2023)

Benign Nonconvex Landscapes in Optimal and Robust Control, Part II: Extended Convex Lifting
by: Zheng, Yang, et al.
Published: (2024)

Contingency Planning for Safety-Critical Autonomous Vehicles: A Review and Perspectives
by: Zheng, Lei, et al.
Published: (2026)

Distributional Soft Actor-Critic with Three Refinements
by: Duan, Jingliang, et al.
Published: (2023)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

Unified Lyapunov Method for ISS of PDEs: A Tutorial on Constructing Generalized Lyapunov Functionals for Parabolic and Hyperbolic Equations
by: Zheng, Jun, et al.
Published: (2026)

Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend
by: Chen, Rui, et al.
Published: (2024)