Representation Learning for Grounded Spatial Reasoning
نویسندگان
چکیده
منابع مشابه
Representation Learning for Grounded Spatial Reasoning
The interpretation of spatial references is highly contextual, requiring joint inference over both language and the environment. We consider the task of spatial reasoning in a simulated environment, where an agent can act and receive rewards. The proposed model learns a representation of the world steered by instruction text. This design allows for precise alignment of local neighborhoods with ...
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2018
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00004