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TAG: Task-based Accumulated Gradients for Lifelong learning


May 11, 2021
Pranshu Malviya, Balaraman Ravindran, Sarath Chandar


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Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes


Apr 05, 2021
Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe

* 7 pages. Camera-ready version for AASG 2021 Workshop 

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Selective Intervention Planning using RMABs: Increasing Program Engagement to Improve Maternal and Child Health Outcomes


Mar 18, 2021
Siddharth Nishtala, Lovish Madaan, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe

* 7 pages. This article supersedes arXiv:2006.07590 

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Hyperedge Prediction using Tensor Eigenvalue Decomposition


Feb 06, 2021
Deepak Maurya, Balaraman Ravindran


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qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems


Jan 07, 2021
Nahas Pareekutty, Francis James, Balaraman Ravindran, Suril V. Shah


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Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1


Jan 07, 2021
Jahnvi Patel, Devika Jay, Balaraman Ravindran, K. Shanti Swarup


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Relational Boosted Bandits


Dec 16, 2020
Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran

* 8 pages, 3 figures 

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Hypergraph Partitioning using Tensor Eigenvalue Decomposition


Nov 16, 2020
Deepak Maurya, Balaraman Ravindran

* 22 pages with appendix 

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Goal directed molecule generation using Monte Carlo Tree Search


Oct 30, 2020
Anand A. Rajasekar, Karthik Raman, Balaraman Ravindran

* 5 pages, 1 figure 

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MADRaS : Multi Agent Driving Simulator


Oct 02, 2020
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran


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Reinforcement Learning for Improving Object Detection


Aug 18, 2020
Siddharth Nayak, Balaraman Ravindran

* 14 pages, 6 figures, 4 tables. Accepted in the RLQ-TOD workshop at ECCV 2020 

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A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal


Jul 16, 2020
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran

* Accepted in the Workshop on Law and Machine Learning, ICML 2020; First two authors contributed equally 

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Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement


Jul 06, 2020
Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Aparna Hegde, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe


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Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains


Jun 07, 2020
Nazneen N Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar


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On Incorporating Structural Information to improve Dialogue Response Generation


May 28, 2020
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra


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Understanding Dynamic Scenes using Graph Convolution Networks


May 15, 2020
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri

* Under Review 

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Towards Transparent and Explainable Attention Models


Apr 29, 2020
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

* Accepted at ACL 2020 

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EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks


Apr 21, 2020
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan

* Published as a conference paper at ICLR 2020 

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Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks


Feb 03, 2020
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri


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SEERL: Sample Efficient Ensemble Reinforcement Learning


Jan 15, 2020
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul


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Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems


Oct 01, 2019
Hardik Meisheri, Vinita Baniwal, Nazneen N Sultana, Balaraman Ravindran, Harshad Khadilkar

* 22 pages, 10 figures 

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Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning


Sep 09, 2019
Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran


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Let's Ask Again: Refine Network for Automatic Question Generation


Aug 31, 2019
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

* accepted in EMNLP 2019 in Main Conference, (10 pages) 

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Learning policies for Social network discovery with Reinforcement learning


Jul 08, 2019
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe


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ExTra: Transfer-guided Exploration


Jun 27, 2019
Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra

* Under review at NeurIPS 2019 

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Learning Interpretable Models Using an Oracle


Jun 17, 2019
Abhishek Ghose, Balaraman Ravindran


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MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning


May 17, 2019
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

* To appear in the Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). (Extended Abstract) 

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