A multilingual version of MS MARCO passage ranking dataset

A multilingual version of MS MARCO passage ranking dataset This repository presents a neural machine translation-based method for translating the MS MARCO passage ranking dataset. The code available here is the same used in our paper mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset. Translated Datasets As described in our work, we made available 8 translated versions of MS MARCO passage ranking dataset. The translated passages collection and the queries set (training and validation) are available at: Released […]

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Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

This is the Tensorflow implementation of ICLR 2021 paper Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. We propose a simple method RAPID for exploration through scroring the previous episodes and reproducing the good exploration behaviors with imitation learning. The implementation is based on OpenAI baselines. For all the experiments, add the option –disable_rapid to see the baseline result. RAPID can achieve better performance and sample efficiency than state-of-the-art exploration methods on MiniGrid environments. Cite This Work […]

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