Reinforcement learning

Distributed Software-Defined Networking Control by Deep Reinforcement Learning for 5G and Beyond

IEEE ICC 2019 “Best Paper” details novel deep reinforcement learning approach to maximize overall performance of Software-Defined Networking that supports 5G.

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Dialog-Based Interactive Image Retrieval

A natural language-based system for interactive image retrieval that is more expressive than conventional systems based on binary or fixed-form feedback.

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‘Show and Tell’ Helps AI Agent Align with Societal Values

As AI-powered autonomous agents play an increasingly large role in society, we must ensure that their behavior aligns with societal values. To this end, we developed a novel technique for training an AI agent to operate optimally in a given environment while following implicit constraints on its behavior. Our strategy incorporates a bottom-up (or demonstration-based) […]

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End-to-End Open-Domain QA via Multi-Passage Reading Comprehension

Recently, impressive progress has been made in neural network question answering (QA) systems which can analyze a passage to answer a question. These systems work by matching a representation of the question to the text to find the relevant answer phrase. But what if the text is potentially all of Wikipedia?  And what if the […]

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