Harshad Khadilkar

79 papers A* 2A 7B 2C 4Misc 1Journal 38Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings. CoRR Om Vishesh, Harshad Khadilkar, Deepak Akkil
2025	—	`conf`	AURA-QG: Automated Unsupervised Replicable Assessment for Question Generation. IJCNLP-AACL (long papers) Rajshekar K, Harshad Khadilkar, Pushpak Bhattacharyya
2025	J	`jnl`	Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG. CoRR Harshad Khadilkar, Abhay Gupta
2025	A	`conf`	Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. CIKM Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar
2025	J	`jnl`	Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. CoRR Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar
2025	J	`jnl`	TAR CoRR Aditya Kapoor, Kale-ab Abebe Tessera, Mayank Baranwal, Harshad Khadilkar, Stefano V. Albrecht, Limin Sun
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	J	`jnl`	Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
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
2024	—	`conf`	Deep reinforcement learning approach for routing and scheduling of trains at railway station. COMAD/CODS (December) Sudhir R. Shetiya, Shripad Salsingikar, Harshad Khadilkar
2024	J	`jnl`	DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions. CoRR Aditya Kapoor, Harshad Khadilkar, Jayavardhana Gubbi
2024	—	`conf`	Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran
2024	J	`jnl`	Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization. CoRR Swaroop Nath, Tejpalsingh Siledar, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Harshad Khadilkar, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera
2024	A*	`conf`	Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks. IJCAI Hastyn Doshi, Ayush Tripathi, Keshav Agarwal, Harshad Khadilkar, Shivaram Kalyanakrishnan
2024	—	`conf`	ORCHID: Offline RL for Control of HVAC in Buildings using Historical and Low-Fidelity Simulation Data. AIMLSystems Richa Verma, Srikar Babu Gadipudi, Srinarayana Nagarathinam, Harshad Khadilkar
2024	J	`jnl`	Transformers are Expressive, But Are They Expressive Enough for Regression? CoRR Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya
2023	—	`conf`	Classifier Design for Decentralised Sensing with Digital Communication. CDC Gauri Garg, Harshad Khadilkar, Ankur A. Kulkarni, Aditya A. Paranjape
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	A*	`conf`	Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. EMNLP Swaroop Nath, Pushpak Bhattacharyya, Harshad Khadilkar
2023	J	`jnl`	Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. CoRR Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya
2023	J	`jnl`	Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas. CoRR Harshad Khadilkar
2023	—	`conf`	Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. COMAD/CODS Harshad Khadilkar, Hardik Meisheri
2023	J	`jnl`	Using General Value Functions to Learn Domain-Backed Inventory Management Policies. CoRR Durgesh Kalwar, Omkar Shelke, Harshad Khadilkar
2023	J	`jnl`	Using Linear Regression for Iteratively Training Neural Networks. CoRR Harshad Khadilkar
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	—	`conf`	A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions. ECML/PKDD (3) Ramya Hebbalaguppe, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
2022	J	`jnl`	A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions. CoRR Ramya S. Hebbalaguppe, Soumya Suvra Goshal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
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	B	`conf`	Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. IJCNN Deepak Mohapatra, Ankush Ojha, Harshad Khadilkar, Supratim Ghosh
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	—	`conf`	Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. AIMLSystems Kavya Borra, Ashwin Krishnan, Harshad Khadilkar, Manoj Nambiar, Ansuma Basumatary, Rekha Singhal, Arijit Mukherjee
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`	Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT. CoRR Harshad Khadilkar
2022	J	`jnl`	Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. CoRR Harshad Khadilkar, Hardik Meisheri
2021	Misc	`conf`	A Simulation Driven Optimization Algorithm for Scheduling Sorting Center Operations. WSC Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar
2021	J	`jnl`	A simulation driven optimization algorithm for scheduling sorting center operations. CoRR Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar
2021	—	`conf`	Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning. COMAD/CODS Omkar Shelke, Vinita Baniwal, Harshad Khadilkar
2021	J	`jnl`	Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows. CoRR Nazneen N. Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar
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	A	`conf`	Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM Somjit Nath, Mayank Baranwal, Harshad Khadilkar
2021	J	`jnl`	Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR Somjit Nath, Mayank Baranwal, Harshad Khadilkar
2021	A	`conf`	SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. AAMAS Somjit Nath, Richa Verma, Abhik Ray, 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`	A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing. CoRR Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha
2020	J	`jnl`	Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning. CoRR Harshad Khadilkar, Tanuja Ganu, Deva P. Seetharam
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`	SIBRE: Self Improvement Based REwards for Reinforcement Learning. CoRR Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar
2020	J	`jnl`	Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication. CoRR Hardik Meisheri, Harshad Khadilkar
2019	A	`conf`	A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
2019	J	`jnl`	A Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines. IEEE Trans. Intell. Transp. Syst. Harshad Khadilkar
2019	J	`jnl`	A rolling horizon optimisation model for consolidated hump yard operational planning. J. Rail Transp. Plan. Manag. Sumit Raut, Sudhir K. Sinha, Harshad Khadilkar, Shripad Salsingikar
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	C	`conf`	An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres. ACC Vinita Baniwal, Chandrai Kayal, Dheeraj Shah, Padmakumar Ma, Harshad Khadilkar
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	—	`conf`	Learning representations for sentiment classification using Multi-task framework. WASSA@EMNLP Hardik Meisheri, Harshad Khadilkar
2017	J	`jnl`	Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks. Transp. Sci. Harshad Khadilkar
2017	C	`conf`	Scheduling of vehicle movement in resource-constrained transportation networks using a capacity-aware heuristic. ACC Harshad Khadilkar
2016	J	`jnl`	Integrated Control of Airport and Terminal Airspace Operations. IEEE Trans. Control. Syst. Technol. Harshad Khadilkar, Hamsa Balakrishnan
2016	—	`conf`	Modelling the impact of control strategy on stochastic delay propagation in transportation networks. ECC Harshad Khadilkar
2016	—	`conf`	SMOME: A framework for evaluating the costs and benefits of instrumentation in smart home systems. SmartGridComm Seema Nagar, Sandhya Aneja, Harshad Khadilkar, Sampath Dechu, Zainul Charbiwala
2016	—	`conf`	Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe Megha Nawhal, Heena Bansal, Ashok Pon Kumar, Vikas Chandan, Sridhar R, Babitha Ramesh, Sunil Kumar Ghai, Harshad Khadilkar, Deva P. Seetharam, Zainul M. Charbiwala, Vijay Arya, Amith Singhee
2015	—	`conf`	A Framework for Evaluating the Costs and Benefits of Instrumentation in Smart Home Systems. e-Energy Seema Nagar, Sandhya Aneja, Harshad Khadilkar, Sampath Dechu, Zainul Charbiwala
2015	—	`conf`	A socially aware incentive strategy for encouraging residential solar uptake in Brunei. SmartGridComm Harshad Khadilkar, Pratyush Kumar, Subendhu Rongali, Sampath Dechu, Pg Mohammad Iskandarbin Pg Hj Petra
2015	—	`conf`	Individual and Aggregate Electrical Load Forecasting: One for All and All for One. e-Energy Sambaran Bandyopadhyay, Tanuja Ganu, Harshad Khadilkar, Vijay Arya
2015	—	`conf`	UrJar: A Device to Address Energy Poverty Using E-Waste. e-Energy Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam
2014	—	`conf`	Algorithms for upgrading the resolution of aggregate energy meter data. e-Energy Harshad Khadilkar, Tanuja Ganu, Zainul Charbiwala, Chee Ming Lim, Sathyajith Mathew, Deva P. Seetharam
2014	—	`conf`	Collaborative energy conservation in a microgrid. BuildSys Mohit Jain, Harshad Khadilkar, Neha Sengupta, Zainul Charbiwala, Kushan U. Tennakoon, Rodzay bin Haji Abdul Wahab, Liyanage Chandratilake De Silva, Deva P. Seetharam
2014	—	`conf`	DC Picogrids as power backups for office buildings. SmartGridComm Harshad Khadilkar, Vikas Chandan, Sandeep Kalra, Sunil Kumar Ghai, Zainul Charbiwala, Tanuja Ganu, Rajesh Kunnath, Chee Ming Lim, Deva P. Seetharam
2014	J	`jnl`	High Confidence Networked Control for Next Generation Air Transportation Systems. IEEE Trans. Autom. Control. Pangun Park, Harshad Khadilkar, Hamsa Balakrishnan, Claire J. Tomlin
2014	J	`jnl`	Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals. IEEE Trans. Intell. Transp. Syst. Pangun Park, Harshad Khadilkar, Hamsa Balakrishnan, Claire J. Tomlin
2014	—	`conf`	UrJar: A Lighting Solution using Discarded Laptop Batteries. ACM DEV Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam
2013	—	`conf`	Optimal control of airport operations with gate capacity constraints. ECC Harshad Khadilkar, Hamsa Balakrishnan
2012	C	`conf`	A network congestion control approach to airport departure management. ACC Harshad Khadilkar, Hamsa Balakrishnan