| Reinforcement learning with sparse rewards using guidance from offline demonstration D Rengarajan, G Vaidya, A Sarvesh, D Kalathil, S Shakkottai International Conference on Learning Representations (ICLR), 2022, 2022 | 51 | 2022 |
| QFlow: A reinforcement learning approach to high QoE video streaming over wireless networks R Bhattacharyya, A Bura, D Rengarajan, M Rumuly, S Shakkottai, ... Proceedings of the twentieth ACM international symposium on mobile ad hoc …, 2019 | 50 | 2019 |
| Learning to cache and caching to learn: Regret analysis of caching algorithms A Bura, D Rengarajan, D Kalathil, S Shakkottai, JF Chamberland IEEE/ACM Transactions on Networking 30 (1), 18-31, 2021 | 17 | 2021 |
| Reinforcement learning for mean field games with strategic complementarities K Lee, D Rengarajan, D Kalathil, S Shakkottai International Conference on Artificial Intelligence and Statistics, 2458-2466, 2021 | 9 | 2021 |
| QFlow: A learning approach to high QoE video streaming at the wireless edge R Bhattacharyya, A Bura, D Rengarajan, M Rumuly, B Xia, S Shakkottai, ... IEEE/ACM Transactions on Networking 30 (1), 32-46, 2021 | 6 | 2021 |
| Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments D Rengarajan, S Chaudhary, J Kim, D Kalathil, S Shakkottai Advances in neural information processing systems 35, 2737-2749, 2022 | 5 | 2022 |
| Modeling demand flexibility of electric vehicles CR Srivatsa, D Rengarajan, VK Tumuluru 2017 IEEE International Conference on Smart Grid Communications …, 2017 | 5 | 2017 |
| Flowbazaar: A market-mediated software defined communications ecosystem at the wireless edge R Bhattacharyya, B Xia, D Rengarajan, S Shakkottai, D Kalathil arXiv preprint arXiv:1801.00825, 2018 | 4 | 2018 |
| Influence of corona intensity on the hydropobhicity recovery of polymeric insulating samples AR Verma, D Rengarajan, VN Patil 2015 International Conference on Condition Assessment Techniques in …, 2015 | 2 | 2015 |
| Enhancing Large Language Models with Ensemble of Critics for Mitigating Toxicity and Hallucination S Mousavi, RL Gutierrez, D Rengarajan, V Gundecha, AR Babu, A Naug, ... R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | 1* | 2023 |
| An optimized design of reversible magnitude and signed comparators AN Nagamani, D Rengarajan, VK Agrawal 2016 IEEE International Conference on Electron Devices and Solid-State …, 2016 | 1 | 2016 |
| Structured Reinforcement Learning for Media Streaming at the Wireless Edge A Bura, SC Bobbili, S Rameshkumar, D Rengarajan, D Kalathil, ... arXiv preprint arXiv:2404.07315, 2024 | | 2024 |
| Enhancing Reinforcement Learning Using Data and Structure D Rengarajan | | 2023 |
| Federated Ensemble-Directed Offline Reinforcement Learning D Rengarajan, N Ragothaman, D Kalathil, S Shakkottai arXiv preprint arXiv:2305.03097, 2023 | | 2023 |
Srinivas ShakkottaiProfessor, Dept. of ECE, Texas A&M UniversityVerified email at tamu.edu
