v1v2 (latest)

SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents

3 August 2023

Amirhossein Zolfagharian

Papers citing "SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents"

47 / 47 papers shown

Title
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities Xu Yan Haiming Zhang Yingjie Cai Jingming Guo Weichao Qiu ... Lihui Jiang Wei Zhang Hongbo Zhang Dengxin Dai Bingbing Liu 138 19 0 16 Jan 2024
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination Lu Wen Songan Zhang E. Tseng Huei Peng VLM OffRL 69 6 0 11 Nov 2023
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification Jasmina Gajcin J. McCarthy Rahul Nair Radu Marinescu Elizabeth M. Daly Ivana Dusparic 77 3 0 30 Aug 2023
Comparing NARS and Reinforcement Learning: An Analysis of ONA and $Q$ -Learning Algorithms Ali Beikmohammadi Sindri Magnússon 22 3 0 17 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 42 17 0 08 Mar 2023
Safe Deep Reinforcement Learning by Verifying Task-Level Properties Enrico Marchesini Luca Marzari Alessandro Farinelli Chris Amato OffRL 43 13 0 20 Feb 2023
Online Shielding for Reinforcement Learning Bettina Könighofer Julian Rudolf Alexander Palmisano Martin Tappler Roderick Bloem OffRL 43 22 0 04 Dec 2022
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance Y. Okawa Tomotake Sasaki H. Yanami T. Namerikawa 57 4 0 30 Sep 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 73 27 0 15 Jun 2022
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 183 256 0 20 May 2022
Search-Based Testing of Reinforcement Learning Martin Tappler Filip Cano Córdoba B. Aichernig Bettina Könighofer ELM OffRL 54 23 0 07 May 2022
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning Phillip Swazinna Steffen Udluft D. Hein Thomas Runkler OffRL 48 26 0 14 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 68 45 0 20 Dec 2021
Fault-Tolerant Perception for Automated Driving A Lightweight Monitoring Approach Cornelius Buerkle Florian Geissler Michael Paulitsch Kay-Ulrich Scholl 42 9 0 24 Nov 2021
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior Manzoor Hussain Nazakat Ali Jang-Eui Hong AAML 39 39 0 18 Nov 2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 60 4 0 08 Nov 2021
Human-robot collaboration and machine learning: a systematic review of recent research F. Semeraro Alexander Griffiths Angelo Cangelosi 41 160 0 14 Oct 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 75 26 0 04 Oct 2021
Memory-based Deep Reinforcement Learning for POMDPs Lingheng Meng R. Gorbet Dana Kulic 77 98 0 24 Feb 2021
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring Michael Weiss Paolo Tonella AAML 112 30 0 01 Feb 2021
Safe Multi-Agent Reinforcement Learning via Shielding Ingy Elsayed-Aly Suda Bharadwaj Chris Amato Rüdiger Ehlers Ufuk Topcu Lu Feng 61 95 0 27 Jan 2021
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 43 93 0 22 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 66 45 0 09 Jun 2020
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure Koorosh Aslansefat Ioannis Sorokos D. Whiting Ramin Tavakoli Kolagari Y. Papadopoulos 53 38 0 27 May 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 148 195 0 06 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 347 1,687 0 02 Feb 2020
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 72 59 0 20 Nov 2019
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control Rhiannon Michelmore Matthew Wicker Luca Laurenti L. Cardelli Y. Gal Marta Z. Kwiatkowska BDL 116 106 0 21 Sep 2019
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies Vahid Behzadan W. Hsu OffRL 59 20 0 03 Jun 2019
Adversarial Exploitation of Policy Imitation Vahid Behzadan W. Hsu 51 24 0 03 Jun 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 82 549 0 29 Apr 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 48 16 0 11 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 88 123 0 29 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 234 1,624 0 07 Dec 2018
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control Rhiannon Michelmore Marta Kwiatkowska Y. Gal UQCV 52 103 0 16 Nov 2018
Runtime Monitoring Neuron Activation Patterns Chih-Hong Cheng Georg Nührenberg Hirotoshi Yasuoka 57 75 0 18 Sep 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 68 306 0 11 Dec 2017
Deep Predictive Models for Collision Risk Assessment in Autonomous Driving Mark Strickland Georgios Fainekos H. B. Amor 83 69 0 28 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 50 262 0 24 Nov 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,268 0 06 Oct 2017
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 82 690 0 29 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,821 0 19 Aug 2017
Noisy Networks for Exploration Meire Fortunato M. G. Azar Bilal Piot Jacob Menick Ian Osband ... Rémi Munos Demis Hassabis Olivier Pietquin Charles Blundell Shane Legg 79 897 0 30 Jun 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 318 1,873 0 03 Feb 2017
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,764 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,658 0 22 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,261 0 19 Dec 2013