This repository contains the official code and datasets for the paper, "Continuous Temporal Domain Generalization", accepted by NeurIPS 2024. TL;DR: The study proposes a method capable of generating ...
Abstract: The reliable deployment of deep reinforcement learning in real-world settings requires the ability to generalize across a variety of conditions, including both in-distribution scenarios seen ...
Abstract: Recent research has shown that deep learning models are likely to make incorrect predictions even when exposed to minor perturbations. To address this, training models on adversarial ...
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