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relational_semantic_network [2018/09/15 04:59]
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relational_semantic_network [2018/10/08 12:37]
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 We then improve upon these deficits by using a new memory module -- a {Relational Memory Core} (RMC) -- which employs multi-head dot product attention to allow memories to interact. Finally, we test the RMC on a suite of tasks that may profit from more capable relational reasoning across sequential information,​ and show large gains in RL domains (e.g. Mini PacMan), program evaluation, and language modeling, achieving state-of-the-art results on the WikiText-103,​ Project Gutenberg, and GigaWord datasets. https://​github.com/​deepmind/​sonnet/​blob/​master/​sonnet/​python/​modules/​relational_memory.py We then improve upon these deficits by using a new memory module -- a {Relational Memory Core} (RMC) -- which employs multi-head dot product attention to allow memories to interact. Finally, we test the RMC on a suite of tasks that may profit from more capable relational reasoning across sequential information,​ and show large gains in RL domains (e.g. Mini PacMan), program evaluation, and language modeling, achieving state-of-the-art results on the WikiText-103,​ Project Gutenberg, and GigaWord datasets. https://​github.com/​deepmind/​sonnet/​blob/​master/​sonnet/​python/​modules/​relational_memory.py
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 +https://​slideslive.com/​38909774/​embedding-symbolic-computation-within-neural-computation-for-ai-and-nlp
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 +https://​arxiv.org/​abs/​1809.11044 Relational Forward Models for Multi-Agent Learning
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