Hardik Meisheri

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Causal Relations

Reinforcement Learning

Top Venues

Publications

Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. COMAD/CODS (2024)
Pranavi Pathakota, Hardik Meisheri, Harshad Khadilkar
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces. AAMAS (2024)
Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah, Harshad Khadilkar
Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. COMAD/CODS (2023)
Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri, Harshad Khadilkar
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. AAMAS (2023)
Pranavi Pathakota, Hardik Meisheri, Harshad Khadilkar
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces. CoRR (2023)
Harshad Khadilkar, Hardik Meisheri
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. COMAD/CODS (2023)
Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Harshad Khadilkar, Hardik Meisheri, Balaraman Ravindran
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce. CoRR (2023)
Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34 (3) (2022)
Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. CoRR (2022)
Harshad Khadilkar, Hardik Meisheri
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. CoRR (2022)
Omkar Shelke, Hardik Meisheri, Harshad Khadilkar
Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget. COMAD/CODS (2022)
Somjit Nath, Omkar Shelke, Durgesh Kalwar, Hardik Meisheri, Harshad Khadilkar
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. CoRR (2022)
Omkar Shelke, Hardik Meisheri, Harshad Khadilkar
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget. CoRR (2021)
Hardik Meisheri, Harshad Khadilkar
FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability. IJCNN (2021)
Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah, Harshad Khadilkar
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. CoRR (2021)
Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. CoRR (2020)
Hardik Meisheri, Harshad Khadilkar
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication. CoRR (2020)
Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar
Accelerating Training in Pommerman with Imitation and Reinforcement Learning. CoRR (2019)
Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. CoRR (2019)
Souvik Barat, Harshad Khadilkar, Hardik Meisheri, Vinay Kulkarni, Vinita Baniwal, Prashant Kumar, Monika Gajrani
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning. AAMAS (2019)
Souvik Barat, Prashant Kumar, Monika Gajrani, Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, Vinay Kulkarni
Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation. MABS (2019)
Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey
Characterizing behavioral trends in a community driven discussion platform. CoRR (2019)
Hardik Meisheri, Lipika Dey
TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture. SemEval@NAACL-HLT (2018)
Ishan Verma, Rahul Ahuja, Hardik Meisheri, Lipika Dey
Air Pollutant Severity Prediction Using Bi-Directional LSTM Network. WI (2018)
Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. ASONAM (2018)
Hardik Meisheri, Harshad Khadilkar
Learning representations for sentiment classification using Multi-task framework. WASSA@EMNLP (2018)
Hardik Meisheri, Nagraj Ramrao, Suman Mitra
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier. CoRR (2018)
Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey
Analyzing behavioral trends in community driven discussion platforms like Reddit. CoRR (2018)
Kaustubh Mani, Ishan Verma, Hardik Meisheri, Lipika Dey
Multi-Document Summarization Using Distributed Bag-of-Words Model. WI (2018)
Ishan Verma, Lipika Dey, Hardik Meisheri
Detecting, quantifying and accessing impact of news events on Indian stock indices. WI (2017)
Lipika Dey, Hardik Meisheri, Ishan Verma
Predictive Analytics with Structured and Unstructured data - a Deep Learning based Approach. IEEE Intell. Informatics Bull. 18 (2) (2017)
Hardik Meisheri, Kunal Ranjan, Lipika Dey
Sentiment Extraction from Consumer-Generated Noisy Short Texts. ICDM Workshops (2017)
Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey
Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets. WASSA@EMNLP (2017)