Harshad Khadilkar
Orcid: 0000-0003-3601-778X
According to our database1,
Harshad Khadilkar
authored at least 62 papers
between 2012 and 2024.
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Bibliography
2024
CoRR, 2024
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization.
CoRR, 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 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
CoRR, 2023
DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces.
CoRR, 2023
CoRR, 2023
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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
Proceedings of the 62nd IEEE Conference on Decision and Control, 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 Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions.
CoRR, 2022
Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT.
CoRR, 2022
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management.
CoRR, 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments.
Proceedings of the International Joint Conference on Neural Networks, 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
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA.
Proceedings of the Second International Conference on AI-ML Systems, 2022
2021
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows.
CoRR, 2021
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget.
CoRR, 2021
Proceedings of the Winter Simulation Conference, 2021
FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 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
CoRR, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
A rolling horizon optimisation model for consolidated hump yard operational planning.
J. Rail Transp. Plan. Manag., 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
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 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
An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres.
Proceedings of the 2019 American Control Conference, 2019
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
2017
Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks.
Transp. Sci., 2017
Scheduling of vehicle movement in resource-constrained transportation networks using a capacity-aware heuristic.
Proceedings of the 2017 American Control Conference, 2017
2016
IEEE Trans. Control. Syst. Technol., 2016
SMOME: A framework for evaluating the costs and benefits of instrumentation in smart home systems.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016
Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016
Modelling the impact of control strategy on stochastic delay propagation in transportation networks.
Proceedings of the 15th European Control Conference, 2016
2015
A socially aware incentive strategy for encouraging residential solar uptake in Brunei.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015
Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015
A Framework for Evaluating the Costs and Benefits of Instrumentation in Smart Home Systems.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015
2014
IEEE Trans. Intell. Transp. Syst., 2014
IEEE Trans. Autom. Control., 2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014
Proceedings of the Fifth International Conference on Future Energy Systems, 2014
Proceedings of the Fifth ACM Symposium on Computing for Development, 2014
2013
Proceedings of the 12th European Control Conference, 2013
2012
Proceedings of the American Control Conference, 2012