DOM-Q-NET: Grounded RL on Structured Language

Sheng Jia
Sheng Jia

ICLR, 2019.

Cited by: 1|Bibtex|Views102
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Building agents to interact with the web would allow for significant improvements in knowledge understanding and representation learning. However, web navigation tasks are difficult for current deep reinforcement learning (RL) models due to the large discrete action space and the varying number of actions between the states. In this work,...More

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