Hardik Meisheri

According to our database1, Hardik Meisheri authored at least 17 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication.
CoRR, 2020

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains.
CoRR, 2020

Accelerating Training in Pommerman with Imitation and Reinforcement Learning.
CoRR, 2019

Characterizing behavioral trends in a community driven discussion platform.
CoRR, 2019

Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems.
CoRR, 2019

Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation.
Proceedings of the Multi-Agent-Based Simulation XX - 20th International Workshop, 2019

Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier.
CoRR, 2018

Air Pollutant Severity Prediction Using Bi-Directional LSTM Network.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Multi-Document Summarization Using Distributed Bag-of-Words Model.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Learning representations for sentiment classification using Multi-task framework.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Predictive Analytics with Structured and Unstructured data - a Deep Learning based Approach.
IEEE Intell. Informatics Bull., 2017

Detecting, quantifying and accessing impact of news events on Indian stock indices.
Proceedings of the International Conference on Web Intelligence, 2017

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Sentiment Extraction from Consumer-Generated Noisy Short Texts.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017