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Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems

Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems

IEEE Conference on Decision and Control (CDC), 2024
21 February 2025
Ehsan Sabouni
Hijaz Ahmad
Vittorio Giammarino
Christos G. Cassandras
I. Paschalidis
Wenchao Li
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems"

9 / 9 papers shown
Title
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
Hijaz Ahmad
Ehsan Sabouni
Alexander Wasilkoff
Param Budhraja
Zijian Guo
Songyuan Zhang
Chuchu Fan
Christos G. Cassandras
Wenchao Li
131
0
0
20 Jul 2025
Optimal Control of Connected Automated Vehicles with Event-Triggered
  Control Barrier Functions: a Test Bed for Safe Optimal Merging
Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal MergingConference on Control Technology and Applications (CCTA), 2023
Ehsan Sabouni
Hijaz Ahmad
Wei Xiao
Christos G. Cassandras
Wenchao Li
84
11
0
02 Jun 2023
Trust-Aware Resilient Control and Coordination of Connected and
  Automated Vehicles
Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles
Hijaz Ahmad
Ehsan Sabouni
Wei Xiao
Christos G. Cassandras
Wenchao Li
108
6
0
26 May 2023
Iterative Convex Optimization for Model Predictive Control with
  Discrete-Time High-Order Control Barrier Functions
Iterative Convex Optimization for Model Predictive Control with Discrete-Time High-Order Control Barrier FunctionsAmerican Control Conference (ACC), 2022
Shuo Liu
Jun Zeng
Koushil Sreenath
C. Belta
311
32
0
09 Oct 2022
Enhancing Feasibility and Safety of Nonlinear Model Predictive Control
  with Discrete-Time Control Barrier Functions
Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier FunctionsIEEE Conference on Decision and Control (CDC), 2021
Jun Zeng
Zhongyu Li
Koushil Sreenath
167
105
0
21 May 2021
Safety-Critical Model Predictive Control with Discrete-Time Control
  Barrier Function
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
Jun Zeng
Bike Zhang
Koushil Sreenath
227
365
0
22 Jul 2020
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
1.2K
9,803
0
04 Jan 2018
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
850
14,464
0
09 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
267
13,129
0
19 Dec 2013
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