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Found 4 papers, 0 papers with code
ShopTalk: A System for Conversational Faceted Search
The dialog understanding system consists of a deep-learned Contextual Language Understanding module, which interprets user utterances, and a primarily rules-based Dialog-State Tracker (DST), which updates the dialog state and formulates search requests intended for the fulfillment engine.
Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training
In this paper, we focus on the AdWords problem, which is a classical online budgeted matching problem of both theoretical and practical significance.
YaoGAN: Learning Worst-case Competitive Algorithms from Self-generated Inputs
To answer this question, we draw insights from classic results in game theory, analysis of algorithms, and online learning to introduce a novel framework.
A new dog learns old tricks: RL finds classic optimization algorithms
This paper introduces a novel framework for learning algorithms to solve online combinatorial optimization problems.
