Preprint
Jul 2026
OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning
This work presents OOD-RL-Bench, a comprehensive and extensible framework designed to evaluate OOD detectors against categories of anomalies injected into RL trajectories, and makes the framework, trained policy checkpoint, and complete results publicly available as a reproducible artefact.
E. Mittag, Richard Dazeley, P. Vamplew
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