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Recent advances in neural modeling for bug detection have been very promising. More specifically, using snippets of code to create continuous vectors or \textit{embeddings} has been shown to be very good at method name prediction and claimed to be ef
Externí odkaz:
http://arxiv.org/abs/1911.12863
Publikováno v:
Robust and Reliable Autonomy in the Wild Workshop at the 30th International Joint Conference of Artificial Intelligence
Offline reinforcement learning (RL), or learning from a fixed data set, is an attractive alternative to online RL. Offline RL promises to address the cost and safety implications of tak- ing numerous random or bad actions online, a crucial aspect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::53b519b8130b06db6c31af4e829aafe6
http://resolver.tudelft.nl/uuid:2053b579-a663-4def-ad25-4bedad0169be
http://resolver.tudelft.nl/uuid:2053b579-a663-4def-ad25-4bedad0169be
Recent advances in neural modeling for bug detection have been very promising. More specifically, using snippets of code to create continuous vectors or \textit{embeddings} has been shown to be very good at method name prediction and claimed to be ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd22ab78ac028bf7a8f1cd398b7983d0
http://arxiv.org/abs/1911.12863
http://arxiv.org/abs/1911.12863