Hardik Meisheri

33 papers A 3B 5C 1Journal 16Unranked 8

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