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Found 2 papers, 2 papers with code
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
To this end, we propose Bayesian red teaming (BRT), novel query-efficient black-box red teaming methods based on Bayesian optimization, which iteratively identify diverse positive test cases leading to model failures by utilizing the pre-defined user input pool and the past evaluations.
Rethinking Value Function Learning for Generalization in Reinforcement Learning
Our work focuses on training RL agents on multiple visually diverse environments to improve observational generalization performance.
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