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2505.18858
Cited By
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
24 May 2025
Maeva Guerrier
Karthik Soma
Hassan Fouad
Giovanni Beltrame
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Papers citing
"Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning"
16 / 16 papers shown
Can a Bayesian Oracle Prevent Harm from an Agent?
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Yoshua Bengio
Michael K. Cohen
Nikolay Malkin
Matt MacDermott
Damiano Fornasiere
Pietro Greiner
Younesse Kaddar
393
10
0
09 Aug 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments
Mark Towers
Ariel Kwiatkowski
Jordan Terry
John U. Balis
Gianluca De Cola
...
Andrea Pierré
Sander Schulhoff
Jun Jet Tai
Hannah Tan
Omar G. Younis
AuLLM
OffRL
419
501
0
24 Jul 2024
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
Results in Control and Optimization (RCO), 2023
Taisuke Kobayashi
181
4
0
24 Aug 2023
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Artificial Intelligence (AIJ), 2022
Kai Hsu
Allen Z. Ren
D. Nguyen
Anirudha Majumdar
J. F. Fisac
OffRL
288
56
0
20 Jan 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi
Chi Jin
253
34
0
12 Jul 2021
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni
Shie Mannor
Matteo Pirotta
314
201
0
04 Mar 2020
Learning for Safety-Critical Control with Control Barrier Functions
Conference on Learning for Dynamics & Control (L4DC), 2019
Andrew J. Taylor
Andrew W. Singletary
Yisong Yue
Aaron D. Ames
293
268
0
20 Dec 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics
IEEE International Conference on Robotics and Automation (ICRA), 2019
Shuo Li
Osbert Bastani
167
97
0
24 Oct 2019
Reinforcement Learning with Convex Constraints
Neural Information Processing Systems (NeurIPS), 2019
Sobhan Miryoosefi
Kianté Brantley
Hal Daumé
Miroslav Dudík
Robert Schapire
204
97
0
21 Jun 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2019
Richard Cheng
G. Orosz
R. Murray
J. W. Burdick
224
697
0
21 Mar 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
K. P. Wabersich
Melanie Zeilinger
AI4CE
363
201
0
13 Dec 2018
Constrained Exploration and Recovery from Experience Shaping
Tu-Hoa Pham
Giovanni De Magistris
Don Joven Agravante
Subhajit Chaudhury
Asim Munawar
Ryuki Tachibana
134
3
0
21 Sep 2018
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
451
615
0
28 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
2.6K
10,185
0
04 Jan 2018
Safe Reinforcement Learning via Shielding
Mohammed Alshiekh
Roderick Bloem
Rüdiger Ehlers
Bettina Könighofer
S. Niekum
Ufuk Topcu
1.2K
790
0
29 Aug 2017
Constrained Policy Optimization
International Conference on Machine Learning (ICML), 2017
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
1.4K
1,588
0
30 May 2017
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