347 citations · 690 across the 32 of their papers we have counts for
5 papers · 1 filter
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling
Vishwanath D, Lovekesh Vig, Gautam Shroff +1
In this paper we present Meeting Bot, a reinforcement learning based conversational system that interacts with multiple users to schedule meetings. The system is able to interpret…
Deep Reader: Information extraction from Document images via relation extraction and Natural Language
Vishwanath D, Rohit Rahul, Gunjan Sehgal +6
Recent advancements in the area of Computer Vision with state-of-art Neural Networks has given a boost to Optical Character Recognition (OCR) accuracies. However, extracting charac…
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning
Vishal Sunder, Lovekesh Vig, Arnab Chatterjee +1
We present an effective technique for training deep learning agents capable of negotiating on a set of clauses in a contract agreement using a simple communication protocol. We use…
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig +1
Deep neural networks have shown promising results for various clinical prediction tasks such as diagnosis, mortality prediction, predicting duration of stay in hospital, etc. Howev…
Evolutionary RL for Container Loading
S Saikia, R Verma, P Agarwal +3
Loading the containers on the ship from a yard, is an impor- tant part of port operations. Finding the optimal sequence for the loading of containers, is known to be computationall…