Multi-policy test case selection (MPTCS) uses a set of policies to pick solvable, difficult, and diverse test cases that expose common flaws in any reinforcement learning policy.
Proceedings of the International Conference on Automated Planning and Scheduling33, 109–117 (2023)
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Reusable Test Suites for Reinforcement Learning
Multi-policy test case selection (MPTCS) uses a set of policies to pick solvable, difficult, and diverse test cases that expose common flaws in any reinforcement learning policy.