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6 papers · 2 filters
Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers
Yaman Kumar, Swati Aggarwal, Debanjan Mahata +3
In the era of MOOCs, online exams are taken by millions of candidates, where scoring short answers is an integral part. It becomes intractable to evaluate them by human graders. Th…
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park, Ryan A. Rossi, Zheng Wen +2
Linear quadratic regulator (LQR) is one of the most popular frameworks to tackle continuous Markov decision process tasks. With its fundamental theory and tractable optimal policy,…
Neuro-Symbolic Generative Art: A Preliminary Study
Gunjan Aggarwal, Devi Parikh
There are two classes of generative art approaches: neural, where a deep model is trained to generate samples from a data distribution, and symbolic or algorithmic, where an artist…
Surveys without Questions: A Reinforcement Learning Approach
Atanu R Sinha, Deepali Jain, Nikhil Sheoran +2
The 'old world' instrument, survey, remains a tool of choice for firms to obtain ratings of satisfaction and experience that customers realize while interacting online with firms.…
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha +4
In social dilemma situations, individual rationality leads to sub-optimal group outcomes. Several human engagements can be modeled as a sequential (multi-step) social dilemmas. How…
Uncovering Relations for Marketing Knowledge Representation
Somak Aditya, Atanu Sinha
Online behaviors of consumers and marketers generate massive marketing data, which ever more sophisticated models attempt to turn into insights and aid decisions by marketers. Yet,…