Hardik Meisheri

Orcid: 0000-0002-9014-1098

According to our database1, Hardik Meisheri authored at least 28 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce.
CoRR, 2023

Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Scalable multi-product inventory control with lead time constraints using reinforcement learning.
Neural Comput. Appl., 2022

A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management.
CoRR, 2022

Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget.
CoRR, 2021

FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
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

2019
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

2018
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

2017
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


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