Software testing techniques for reinforcement learning-based systems

This project will investigate existing software testing techniques and development of new ones for testing of reinforcement learning-based software applications.

References:

[1] Yuteng Lu, Weidi Sun, Meng Sun, Towards mutation testing of Reinforcement Learning systems, Journal of Systems Architecture, Volume 131, 2022, https://www.sciencedirect.com/science/article/pii/S1383762122001977

[2] Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, and Nicolás Cardozo. 2020. Does Neuron Coverage Matter for Deep Reinforcement Learning? A Preliminary Study. In Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW’20)