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2204.07417
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Safe Reinforcement Learning Using Black-Box Reachability Analysis
15 April 2022
Mahmoud Selim
Amr Alanwar
Shreyas Kousik
Grace Gao
Marco Pavone
Karl H. Johansson
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Papers citing
"Safe Reinforcement Learning Using Black-Box Reachability Analysis"
25 / 25 papers shown
Title
Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
Ahmad Hafez
Alireza Naderi Akhormeh
Amr Hegazy
Amr Alanwar
46
0
0
05 Mar 2025
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults
Xinyang Wang
Hongwei Zhang
Shimin Wang
Wei Xiao
M. Guay
53
0
0
28 Jan 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
36
0
0
30 Dec 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Wonsuhk Jung
Dennis Anthony
Utkarsh Aashu Mishra
Nadun Ranawaka Arachchige
Matthew Bronars
Danfei Xu
Shreyas Kousik
31
0
0
28 Sep 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Piotr Kicki
Davide Tateo
Puze Liu
Jonas Guenster
Jan Peters
Krzysztof Walas
34
2
0
26 Aug 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
Jianpeng Yao
Xiaopan Zhang
Yu Xia
Zejin Wang
A. Roy-Chowdhury
Jiachen Li
51
2
0
24 Jul 2024
Socially Acceptable Bipedal Robot Navigation via Social Zonotope Network Model Predictive Control
Abdulaziz Shamsah
Krishanu Agarwal
Nigam Katta
Abirath Raju
Shreyas Kousik
Ye Zhao
37
2
0
24 Jun 2024
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
Luca Paparusso
Shreyas Kousik
Edward Schmerling
Francesco Braghin
Marco Pavone
40
2
0
03 Jun 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
Arko Banerjee
Kia Rahmani
Joydeep Biswas
Işıl Dillig
41
2
0
22 May 2024
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning
Sean Vaskov
Wilko Schwarting
Chris Baker
38
1
0
19 May 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
Puze Liu
Haitham Bou-Ammar
Jan Peters
Davide Tateo
40
7
0
13 Apr 2024
Real-time Model Predictive Control with Zonotope-Based Neural Networks for Bipedal Social Navigation
Abdulaziz Shamsah
Krishanu Agarwal
Shreyas Kousik
Ye Zhao
32
2
0
25 Mar 2024
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation
Long Kiu Chung
Wonsuhk Jung
Chuizheng Kong
Shreyas Kousik
36
3
0
23 Feb 2024
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Zhaorun Chen
Zhuokai Zhao
Tairan He
Binhao Chen
Xuhao Zhao
Liang Gong
Chengliang Liu
19
3
0
05 Oct 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
Milan Ganai
Zheng Gong
Chenning Yu
Sylvia L. Herbert
Sicun Gao
30
17
0
24 Sep 2023
Adaptive Policy Learning to Additional Tasks
Wenjian Hao
Zehui Lu
Zihao Liang
Tianyu Zhou
Shaoshuai Mou
19
0
0
24 May 2023
Policy Learning based on Deep Koopman Representation
Wenjian Hao
Paulo Heredia
Bowen Huang
Zehui Lu
Zihao Liang
Shaoshuai Mou
34
1
0
24 May 2023
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement
Yu Ao
H. Esfandiari
F. Carrillo
Yarden As
Mazda Farshad
Benjamin Grewe
Andreas Krause
Philipp Fuernstahl
36
1
0
09 May 2023
Autonomous Drone Racing: A Survey
D. Hanover
Antonio Loquercio
L. Bauersfeld
Angel Romero
Robert Pěnička
Yunlong Song
Giovanni Cioffi
Elia Kaufmann
Davide Scaramuzza
56
58
0
04 Jan 2023
Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim
Amr Alanwar
M. El-Kharashi
Hazem Abbas
Karl H. Johansson
OffRL
17
3
0
20 Nov 2022
Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes
Niklas Kochdumper
Hanna Krasowski
Xiao Wang
Stanley Bak
Matthias Althoff
27
28
0
19 Oct 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Hanna Krasowski
Jakob Thumm
Marlon Müller
Lukas Schäfer
Xiao Wang
Matthias Althoff
80
19
0
13 May 2022
Constrained Feedforward Neural Network Training via Reachability Analysis
Long Kiu Chung
Adam Dai
Derek Knowles
Shreyas Kousik
Grace Gao
11
8
0
16 Jul 2021
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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