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Found 3 papers, 1 papers with code
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
Humans learn by interacting with their environments and perceiving the outcomes of their actions.
I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models
With this machine-labeled data, we train a prompt classifier to predict whether ChatGPT will refuse a given question, without seeing ChatGPT's response.
"Sliced" Subwindow Search: a Sublinear-complexity Solution to the Maximum Rectangle Problem
In general, our solution outperforms existing solutions when matrices are sufficiently large and a marginal decrease in accuracy is acceptable, such as in many problems involving natural images.
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