Hardik Meisheri
Orcid: 0000-0002-9014-1098
According to our database1,
Hardik Meisheri
authored at least 28 papers
between 2017 and 2024.
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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
2023
CoRR, 2023
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces.
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
CoRR, 2019
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
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
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
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
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
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017