Harshad Khadilkar

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 57

Top Topics

Causal Relations

Reinforcement Learning

Top Venues

Publications

Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya
Transformers are Expressive, But Are They Expressive Enough for Regression? CoRR (2024)
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)
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
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization. CoRR (2024)
Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran
Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS (2024)
Aditya Kapoor, Harshad Khadilkar, Jayavardhana Gubbi
DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions. CoRR (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, Harshad Khadilkar
Using General Value Functions to Learn Domain-Backed Inventory Management Policies. CoRR (2023)
Gauri Garg, Harshad Khadilkar, Ankur A. Kulkarni, Aditya A. Paranjape
Classifier Design for Decentralised Sensing with Digital Communication. CDC (2023)
Swaroop Nath, Pushpak Bhattacharyya, Harshad Khadilkar
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. EMNLP (2023)
Harshad Khadilkar
Using Linear Regression for Iteratively Training Neural Networks. CoRR (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
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas. CoRR (2023)
Harshad Khadilkar, Hardik Meisheri
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. COMAD/CODS (2023)
Swaroop Nath, Harshad Khadilkar, Pushpak Bhattacharyya
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. CoRR (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)
Ramya Hebbalaguppe, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions. ECML/PKDD (3) (2022)
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)
Ramya S. Hebbalaguppe, Soumya Suvra Goshal, Jatin Prakash, Harshad Khadilkar, Chetan Arora
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions. CoRR (2022)
Deepak Mohapatra, Ankush Ojha, Harshad Khadilkar, Supratim Ghosh
Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. IJCNN (2022)
Harshad Khadilkar, Hardik Meisheri
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. CoRR (2022)
Kavya Borra, Ashwin Krishnan, Harshad Khadilkar, Manoj Nambiar, Ansuma Basumatary, Rekha Singhal, Arijit Mukherjee
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. AIMLSystems (2022)
Harshad Khadilkar
Solving the capacitated vehicle routing problem with timing windows using rollouts and MAX-SAT. 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, Vinita Baniwal, Harshad Khadilkar
Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning. COMAD/CODS (2021)
Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar
A simulation driven optimization algorithm for scheduling sorting center operations. CoRR (2021)
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM (2021)
Supratim Ghosh, Aritra Pal, Prashant Kumar, Ankush Ojha, Aditya A. Paranjape, Souvik Barat, Harshad Khadilkar
A Simulation Driven Optimization Algorithm for Scheduling Sorting Center Operations. WSC (2021)
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)
Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. AAMAS (2021)
Nazneen N. Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows. CoRR (2021)
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR (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)
Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar
SIBRE: Self Improvement Based REwards for Reinforcement Learning. CoRR (2020)
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)
Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing. CoRR (2020)
Harshad Khadilkar, Tanuja Ganu, Deva P. Seetharam
Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning. CoRR (2020)
Hardik Meisheri, Harshad Khadilkar
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication. CoRR (2020)
Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS (2019)
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)
Sumit Raut, Sudhir K. Sinha, Harshad Khadilkar, Shripad Salsingikar
A rolling horizon optimisation model for consolidated hump yard operational planning. J. Rail Transp. Plan. Manag. 9 (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)
Harshad Khadilkar
A Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
Vinita Baniwal, Chandrai Kayal, Dheeraj Shah, Padmakumar Ma, Harshad Khadilkar
An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres. ACC (2019)
Hardik Meisheri, Harshad Khadilkar
Learning representations for sentiment classification using Multi-task framework. WASSA@EMNLP (2018)
Harshad Khadilkar
Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks. Transp. Sci. 51 (4) (2017)
Harshad Khadilkar
Scheduling of vehicle movement in resource-constrained transportation networks using a capacity-aware heuristic. ACC (2017)
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
Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe (2016)
Harshad Khadilkar
Modelling the impact of control strategy on stochastic delay propagation in transportation networks. ECC (2016)
Seema Nagar, Sandhya Aneja, Harshad Khadilkar, Sampath Dechu, Zainul Charbiwala
SMOME: A framework for evaluating the costs and benefits of instrumentation in smart home systems. SmartGridComm (2016)
Harshad Khadilkar, Hamsa Balakrishnan
Integrated Control of Airport and Terminal Airspace Operations. IEEE Trans. Control. Syst. Technol. 24 (1) (2016)
Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam
UrJar: A Device to Address Energy Poverty Using E-Waste. e-Energy (2015)
Sambaran Bandyopadhyay, Tanuja Ganu, Harshad Khadilkar, Vijay Arya
Individual and Aggregate Electrical Load Forecasting: One for All and All for One. e-Energy (2015)
Seema Nagar, Sandhya Aneja, Harshad Khadilkar, Sampath Dechu, Zainul Charbiwala
A Framework for Evaluating the Costs and Benefits of Instrumentation in Smart Home Systems. e-Energy (2015)
Harshad Khadilkar, Pratyush Kumar, Subendhu Rongali, Sampath Dechu, Pg Mohammad Iskandarbin Pg Hj Petra
A socially aware incentive strategy for encouraging residential solar uptake in Brunei. SmartGridComm (2015)
Pangun Park, Harshad Khadilkar, Hamsa Balakrishnan, Claire J. Tomlin
High Confidence Networked Control for Next Generation Air Transportation Systems. IEEE Trans. Autom. Control. 59 (12) (2014)
Harshad Khadilkar, Tanuja Ganu, Zainul Charbiwala, Chee Ming Lim, Sathyajith Mathew, Deva P. Seetharam
Algorithms for upgrading the resolution of aggregate energy meter data. e-Energy (2014)
Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam
UrJar: A Lighting Solution using Discarded Laptop Batteries. ACM DEV (2014)
Pangun Park, Harshad Khadilkar, Hamsa Balakrishnan, Claire J. Tomlin
Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals. IEEE Trans. Intell. Transp. Syst. 15 (2) (2014)
Mohit Jain, Harshad Khadilkar, Neha Sengupta, Zainul Charbiwala, Kushan U. Tennakoon, Rodzay bin Haji Abdul Wahab, Liyanage Chandratilake De Silva, Deva P. Seetharam
Collaborative energy conservation in a microgrid. BuildSys@SenSys (2014)
Harshad Khadilkar, Vikas Chandan, Sandeep Kalra, Sunil Kumar Ghai, Zainul Charbiwala, Tanuja Ganu, Rajesh Kunnath, Chee Ming Lim, Deva P. Seetharam
DC Picogrids as power backups for office buildings. SmartGridComm (2014)
Harshad Khadilkar, Hamsa Balakrishnan
Optimal control of airport operations with gate capacity constraints. ECC (2013)
Harshad Khadilkar, Hamsa Balakrishnan
A network congestion control approach to airport departure management. ACC (2012)