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Found 3 papers, 2 papers with code
Evaluating Language-Model Agents on Realistic Autonomous Tasks
We find that these language model agents can only complete the easiest tasks from this list, although they make some progress on the more challenging tasks.
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
In many domains, worst-case guarantees on the performance (e. g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment are crucial.
Shielding Atari Games with Bounded Prescience
We present the first exact method for analysing and ensuring the safety of DRL agents for Atari games.
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