Publications

A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management

Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar

Project Paper

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning

Somjit Nath, Omkar Shelke, Durgesh Kalwar, Hardik Meisheri, Harshad Khadilkar

Project Paper Poster

FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability

Hardik Meisheri, Harshad Khadilkar

Project Paper Video slides

Scalable multi-product inventory control with lead time constraints using reinforcement learning

Hardik Meisheri, Nazneen N Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ranvindran, Harshad Khadilkar

Project Paper

Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication

Hardik Meisheri, Harshad Khadilkar

Project Paper

Using Reinforcement Learning for a Large Variable-Dimensional Inventory Management Problem

Hardik Meisheri, Vinita Baniwal, Nazneen N Sultana, Harshad Khadilkar, Balaraman Ranvindran

Project Paper

Characterizing Behavioral Trends in a Community Driven Discussion Platform

Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey

Project Book Chapter

Accelerating Training in Pommerman with Imitation and Reinforcement Learning

Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar

Project Paper

Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning

Souvik Barat, Harshad Khadilkar, Hardik Meisheri, Vinay Kulkarni, Vinita Baniwal, Prashant Kumar, Monika Gajrani

Project Paper

Multi-Document Summarization using Distributed Bag-of-Words Model

Kaustubh Mani, Ishan Verma, Hardik Meisheri, Lipika Dey

Paper

Air Pollutant Severity Prediction Using Bi-Directional LSTM Network

Ishan Verma, Rahul Ahuja, Hardik Meisheri, Lipika Dey

Paper

Learning representations for sentiment classification using Multi-task framework

Hardik Meisheri, Harshad Khadilkar

Project Paper

Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit

Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey

Paper

TCS Research at SemEval-2018 Task 1 Learning Robust Representations using Multi-Attention Architecture

Hardik Meisheri, Lipika Dey

Project Paper

Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier

Hardik Meisheri, Nagaraj Ramrao, Suman K Mitra

Project Paper

Sentiment extraction from Consumer-generated noisy short texts

Hardik Meisheri, Kunal Ranjan, Lipika Dey

Project Paper

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets

Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey

Project Paper

Detecting, quantifying and accessing impact of news events on Indian stock indices

Ishna Verma, Lipika Dey, Hardik Meisheri

Project DOI Paper

Multiclass common spatial pattern with artifacts removal methodology for EEG signals

Hardik Meisheri, Nagaraj Ramrao, Suman K Mitra

Project DOI Paper