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Found 3 papers, 2 papers with code
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks
In this paper, we empirically investigate the applications of carefully selected DRL algorithms on two important software testing tasks: test case prioritization in the context of Continuous Integration (CI) and game testing.
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
The increasing adoption of Reinforcement Learning in safety-critical systems domains such as autonomous vehicles, health, and aviation raises the need for ensuring their safety.
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Method: We conduct a Systematic Literature Review (SLR) of research papers published between 2015 to 2020, covering topics related to the certification of ML systems.
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