Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach

1 January 2021

Papers citing "Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach"

7 / 7 papers shown

Title
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 39 4 0 28 Jun 2024
Bugs in Large Language Models Generated Code: An Empirical Study Florian Tambon Arghavan Moradi Dakhel Amin Nikanjam Foutse Khomh Michel C. Desmarais G. Antoniol ELM 42 34 0 13 Mar 2024
Bug Characterization in Machine Learning-based Systems Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Z. Jiang 31 20 0 26 Jul 2023
Mutation Testing of Deep Reinforcement Learning Based on Real Faults Florian Tambon Vahid Majdinasab Amin Nikanjam Foutse Khomh G. Antoniol 33 7 0 13 Jan 2023
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 32 20 0 24 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 45 27 0 15 Jun 2022
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 82 1,234 0 30 Nov 2018