Safe reinforcement learning: A control barrier function optimization approach
From MaRDI portal
Publication:6089847
DOI10.1002/rnc.5132zbMath1526.93181OpenAlexW3048735518MaRDI QIDQ6089847
Unnamed Author, Bahare Kiumarsi
Publication date: 13 November 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5132
Applications of optimal control and differential games (49N90) Application models in control theory (93C95)
Related Items (10)
Robust satisficing cooperative control barrier functions for multirobots systems using information‐gap theory ⋮ Quantized feedback control of linear system with performance barrier ⋮ Safe reward‐based deep reinforcement learning control for an electro‐hydraulic servo system ⋮ <scp>Near‐optimal</scp> control of a class of <scp>output‐constrained</scp> systems using recurrent neural network: A <scp>control‐barrier</scp> function approach ⋮ Adaptive dynamic programming for optimal control of discrete‐time nonlinear system with state constraints based on control barrier function ⋮ Heterogeneous optimal formation control of nonlinear multi-agent systems with unknown dynamics by safe reinforcement learning ⋮ Off‐policy model‐based end‐to‐end safe reinforcement learning ⋮ High‐order control barrier functions‐based optimization control for time‐varying nonlinear systems with full‐state constraints: A dynamic sub‐safe set approach ⋮ A reinforcement learning‐based approach for near‐optimal sliding‐mode control of output‐constrained uncertain nonlinear systems ⋮ Safe exploration in model-based reinforcement learning using control barrier functions
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
- Integrating guidance into relational reinforcement learning
- Barrier function based model predictive control
- Barrier Lyapunov functions for the control of output-constrained nonlinear systems
- Risk-sensitive reinforcement learning
- Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems
- An Approximation Theory of Optimal Control for Trainable Manipulators
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems
- A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
- A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games
- Sequential Decision Making With Coherent Risk
This page was built for publication: Safe reinforcement learning: A control barrier function optimization approach
