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Safe Reinforcement Learning Using Black-Box Reachability Analysis

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
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
33
0
0
30 Dec 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
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
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
31
2
0
26 Aug 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
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
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
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
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
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
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
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
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
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
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
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
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
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
Autonomous Drone Racing: A Survey
D. Hanover
Antonio Loquercio
L. Bauersfeld
Angel Romero
Robert Pěnička
Yunlong Song
Giovanni Cioffi
Elia Kaufmann
Davide Scaramuzza
54
58
0
04 Jan 2023
Safe Reinforcement Learning using Data-Driven Predictive Control
Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim
Amr Alanwar
M. El-Kharashi
Hazem Abbas
Karl H. Johansson
OffRL
15
3
0
20 Nov 2022
Provably Safe Reinforcement Learning via Action Projection using
  Reachability Analysis and Polynomial Zonotopes
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
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
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
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
181
583
0
26 Sep 2016
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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