{"url":"/method/snail","slug":"snail","name":"SNAIL","full_name":"Simple Neural Attention Meta-Learner","full_name_withheld":false,"description_markdown":"The **Simple Neural Attention Meta-Learner**, or **SNAIL**, combines the benefits of temporal convolutions and attention to solve meta-learning tasks. They introduce positional dependence through temporal convolutions to make the model applicable to reinforcement tasks - where the observations, actions, and rewards are intrinsically sequential. They also introduce attention in order to provide pinpoint access over an infinitely large context. 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