| Multi-agent multi-armed bandits with limited communication M Agarwal, V Aggarwal, K Azizzadenesheli arXiv preprint arXiv:2102.08462, 2021 | 15 | 2021 |
| Transferring dexterous surgical skill knowledge between robots for semi-autonomous teleoperation MM Rahman, N Sanchez-Tamayo, G Gonzalez, M Agarwal, V Aggarwal, ... 2019 28th IEEE International Conference on Robot and Human Interactive …, 2019 | 15 | 2019 |
| Reinforcement learning for joint optimization of multiple rewards M Agarwal, V Aggarwal arXiv preprint arXiv:1909.02940, 2019 | 14* | 2019 |
| Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization M Agarwal, V Aggarwal, AK Umrawal, CJ Quinn ACM/IMS Transactions on Data Science (TDS) 2 (4), 1-39, 2022 | 11* | 2022 |
| Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach Q Bai, AS Bedi, M Agarwal, A Koppel, V Aggarwal Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3682-3689, 2022 | 9 | 2022 |
| Sartres: a semi-autonomous robot teleoperation environment for surgery MM Rahman, MV Balakuntala, G Gonzalez, M Agarwal, U Kaur, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2021 | 8 | 2021 |
| Grasping region identification in novel objects using microsoft kinect A Rai, PK Patchaikani, M Agarwal, R Gupta, L Behera International Conference on Neural Information Processing, 172-179, 2012 | 7 | 2012 |
| Communication efficient parallel reinforcement learning M Agarwal, B Ganguly, V Aggarwal Uncertainty in Artificial Intelligence, 247-256, 2021 | 6 | 2021 |
| On the approximation of cooperative heterogeneous multi-agent reinforcement learning (marl) using mean field control (mfc) WU Mondal, M Agarwal, V Aggarwal, SV Ukkusuri Journal of Machine Learning Research 23 (129), 1-46, 2022 | 5 | 2022 |
| Regret Guarantees for Model-Based Reinforcement Learning with Long-Term Average Constraints M Agarwal, Q Bai, V Aggarwal The 38th Conference on Uncertainty in Artificial Intelligence, 2022 | 4* | 2022 |
| Concave Utility Reinforcement Learning with Zero-Constraint Violations M Agarwal, Q Bai, V Aggarwal arXiv preprint arXiv:2109.05439, 2021 | 4 | 2021 |
| Deserts: Delay-tolerant semi-autonomous robot teleoperation for surgery G Gonzalez, M Agarwal, MV Balakuntala, MM Rahman, U Kaur, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 12693 …, 2021 | 4 | 2021 |
| Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm Q Bai, M Agarwal, V Aggarwal arXiv preprint arXiv:2105.14125, 2021 | 4 | 2021 |
| Escaping saddle points for zeroth-order non-convex optimization using estimated gradient descent Q Bai, M Agarwal, V Aggarwal 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020 | 4 | 2020 |
| Multi-Objective Reinforcement Learning with Non-Linear Scalarization M Agarwal, V Aggarwal, T Lan Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 3 | 2022 |
| Reinforcement Learning for Mean-Field Game M Agarwal, V Aggarwal, A Ghosh, N Tiwari Algorithms 15 (3), 73, 2022 | 3 | 2022 |
| Dart: Adaptive accept reject algorithm for non-linear combinatorial bandits M Agarwal, V Aggarwal, AK Umrawal, C Quinn Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6557-6565, 2021 | 3* | 2021 |
| Blind decision making: Reinforcement learning with delayed observations M Agarwal, V Aggarwal Pattern Recognition Letters 150, 176-182, 2021 | 2 | 2021 |
| Encoders and Decoders for Quantum Expander Codes Using Machine Learning S Chadaga, M Agarwal, V Aggarwal arXiv preprint arXiv:1909.02945, 2019 | 1 | 2019 |
| REINFORCEMENT LEARNING FOR CONCAVE OBJECTIVES AND CONVEX CONSTRAINTS M Agarwal Purdue University Graduate School, 2022 | | 2022 |
Vaneet AggarwalPurdue UniversityVerified email at purdue.edu
