Hardik Meisheri

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Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning

H. Khadilkar, Hardik Meisheri, 2022, COMAD/CODS.

Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget

Harshad Khadilkar, Hardik Meisheri, Omkar Shelke, 2022, COMAD/CODS.

School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget pdf

Harshad Khadilkar, Hardik Meisheri, Omkar Shelke, 2021, ArXiv.

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

Harshad Khadilkar, Hardik Meisheri, H. Khadilkar, 2020, ArXiv.

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains pdf

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2020, ArXiv.

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

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2021, Neural Computing and Applications.

Multi-Agent-Based Simulation XX: 20th International Workshop, MABS 2019, Montreal, QC, Canada, May 13, 2019, Revised Selected Papers

Souvik Barat, Prashant Kumar, Monika Gajrani, 2020, MABS.

FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability

Harshad Khadilkar, Hardik Meisheri, H. Khadilkar, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

H. Khadilkar, Hardik Meisheri, Somjit Nath, 2022, AAMAS.

Air Pollutant Severity Prediction Using Bi-Directional LSTM Network

Hardik Meisheri, Lipika Dey, Ishan Verma, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

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

Hardik Meisheri, Lipika Dey, Ishan Verma, 2017, WI.

Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems pdf

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2019, ArXiv.

Learning representations for sentiment classification using Multi-task framework

Harshad Khadilkar, Hardik Meisheri, H. Khadilkar, 2018, WASSA@EMNLP.

Sentiment Extraction from Consumer-Generated Noisy Short Texts

Hardik Meisheri, Lipika Dey, Kunal Ranjan, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit

Hardik Meisheri, Lipika Dey, Aman Agarwal, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Predictive Analytics with Structured and Unstructured data - a Deep Learning based Approach

Hardik Meisheri, Lipika Dey, Ishan Verma, 2017, IEEE Intell. Informatics Bull..

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

Vinay Kulkarni, Souvik Barat, Prashant Kumar, 2019, AAMAS.

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

Hardik Meisheri, Suman Mitra, Nagraj Ramrao, 2018, ArXiv.

Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce

H. Khadilkar, Hardik Meisheri, Omkar Shelke, 2023, ArXiv.

DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces

H. Khadilkar, Hardik Meisheri, Pranavi Pathakota, 2023, ArXiv.

Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce pdf

Harshad Khadilkar, Hardik Meisheri, Shaun C. D'Souza, 2021, COMAD/CODS.

Accelerating Training in Pommerman with Imitation and Reinforcement Learning

H. Khadilkar, Hardik Meisheri, Omkar Shelke, 2019, ArXiv.

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

Hardik Meisheri, Lipika Dey, Lipika Dey, 2018, *SEMEVAL.

Characterizing behavioral trends in a community driven discussion platform

Aman Agarwal, Arnab Chatterjee, Ishan Verma, 2019, Lecture Notes in Social Networks.