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Verifiably Safe Off-Model Reinforcement Learning

Verifiably Safe Off-Model Reinforcement Learning

14 February 2019
Nathan Fulton
André Platzer
    OffRL
ArXivPDFHTML

Papers citing "Verifiably Safe Off-Model Reinforcement Learning"

13 / 13 papers shown
Title
Turn-based Multi-Agent Reinforcement Learning Model Checking
Dennis Gross
66
0
0
06 Jan 2025
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via
  Model Checking
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Dennis Gross
T. D. Simão
N. Jansen
G. Pérez
AAML
53
2
0
10 Dec 2022
Online Shielding for Reinforcement Learning
Online Shielding for Reinforcement Learning
Bettina Könighofer
Julian Rudolf
Alexander Palmisano
Martin Tappler
Roderick Bloem
OffRL
19
21
0
04 Dec 2022
Guiding Safe Exploration with Weakest Preconditions
Guiding Safe Exploration with Weakest Preconditions
Greg Anderson
Swarat Chaudhuri
Işıl Dillig
52
6
0
28 Sep 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement
  Learning
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
39
15
0
21 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
117
241
0
20 May 2022
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
39
66
0
26 Jul 2021
Synthesizing Safe Policies under Probabilistic Constraints with
  Reinforcement Learning and Bayesian Model Checking
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking
Lenz Belzner
M. Wirsing
22
4
0
08 May 2020
NNV: The Neural Network Verification Tool for Deep Neural Networks and
  Learning-Enabled Cyber-Physical Systems
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran
Xiaodong Yang
Diego Manzanas Lopez
Patrick Musau
L. V. Nguyen
Weiming Xiang
Stanley Bak
Taylor T. Johnson
34
239
0
12 Apr 2020
Reinforcement Learning for Temporal Logic Control Synthesis with
  Probabilistic Satisfaction Guarantees
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig
Y. Kantaros
Alessandro Abate
Daniel Kroening
George J. Pappas
Insup Lee
AI4CE
33
151
0
11 Sep 2019
Neural Simplex Architecture
Neural Simplex Architecture
Dung Phan
Radu Grosu
N. Jansen
Nicola Paoletti
S. Smolka
Scott D. Stoller
30
61
0
01 Aug 2019
Rarely-switching linear bandits: optimization of causal effects for the
  real world
Rarely-switching linear bandits: optimization of causal effects for the real world
B. Lansdell
Sofia Triantafillou
Konrad Paul Kording
22
4
0
30 May 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
35
53
0
02 Feb 2019
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