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A Search-Based Testing Approach for Deep Reinforcement Learning Agents

A Search-Based Testing Approach for Deep Reinforcement Learning Agents

15 June 2022
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
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Papers citing "A Search-Based Testing Approach for Deep Reinforcement Learning Agents"

10 / 10 papers shown
Title
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
Martin Tappler
Ignacio D. Lopez-Miguel
Sebastian Tschiatschek
Ezio Bartocci
59
0
0
13 Mar 2025
Test Where Decisions Matter: Importance-driven Testing for Deep
  Reinforcement Learning
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
Stefan Pranger
Hana Chockler
Martin Tappler
Bettina Könighofer
OffRL
32
0
0
12 Nov 2024
Urban Computing for Climate and Environmental Justice: Early
  Perspectives From Two Research Initiatives
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives
Carolina Veiga
Ashish Sharma
Daniel de Oliveira
Marcos Lage
Fabio Miranda
AI4CE
32
0
0
06 Oct 2024
Fuzzy Logic Guided Reward Function Variation: An Oracle for Testing
  Reinforcement Learning Programs
Fuzzy Logic Guided Reward Function Variation: An Oracle for Testing Reinforcement Learning Programs
Shiyu Zhang
Haoyang Song
Qixin Wang
Yu Pei
25
0
0
28 Jun 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning
  Agents
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
20
5
0
03 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark
  and Case Study for Robotics Manipulation
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation
Zhehua Zhou
Jiayang Song
Xuan Xie
Zhan Shu
Lei Ma
Dikai Liu
Jianxiong Yin
Simon See
26
14
0
31 Jul 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
  Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
26
15
0
08 Mar 2023
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown
  Learners in Unknown Environments
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
Amin Rakhsha
Xuezhou Zhang
Xiaojin Zhu
Adish Singla
AAML
OffRL
29
37
0
16 Feb 2021
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
55
129
0
27 Jan 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
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