| Global convergence of policy gradient methods to (almost) locally optimal policies K Zhang, A Koppel, H Zhu, T Basar SIAM Journal on Control and Optimization 58 (6), 3586-3612, 2020 | 231 | 2020 |
| A saddle point algorithm for networked online convex optimization A Koppel, FY Jakubiec, A Ribeiro IEEE Transactions on Signal Processing 63 (19), 5149-5164, 2015 | 198 | 2015 |
| A Class of Prediction-Correction Methods for Time-Varying Convex Optimization A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro IEEE Transactions on Signal Processing (submitted), 0 | 168* | |
| Variational policy gradient method for reinforcement learning with general utilities J Zhang, A Koppel, AS Bedi, C Szepesvari, M Wang Advances in Neural Information Processing Systems 33, 4572-4583, 2020 | 165 | 2020 |
| On the sample complexity of actor-critic method for reinforcement learning with function approximation H Kumar, A Koppel, A Ribeiro Machine Learning 112 (7), 2433-2467, 2023 | 121 | 2023 |
| Proximity without consensus in online multi-agent optimization A Koppel, BM Sadler, A Ribeiro Proc. Int. Conf. Accoustics Speech Signal Proces (submitted),, 2016 | 94 | 2016 |
| A Decentralized Prediction-Correction Method for Networked Time-Varying Convex Optimization A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro Computational Advances in Multi-Sensor Adaptive Processing, IEEE …, 2015 | 90 | 2015 |
| 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 | 77* | 2022 |
| Decentralized online learning with kernels A Koppel, S Paternain, C Richard, A Ribeiro IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018 | 66 | 2018 |
| Parsimonious online learning with kernels via sparse projections in function space A Koppel, G Warnell, E Stump, A Ribeiro The Journal of Machine Learning Research 20 (1), 83-126, 2019 | 60 | 2019 |
| Parsimonious online learning with kernels via sparse projections in function space A Koppel, G Warnell, E Stump, A Ribeiro 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 47 | 2017 |
| MaxMin-RLHF: Towards equitable alignment of large language models with diverse human preferences S Chakraborty, J Qiu, H Yuan, A Koppel, F Huang, D Manocha, AS Bedi, ... arXiv preprint arXiv:2402.08925, 2024 | 45 | 2024 |
| Asynchronous and parallel distributed pose graph optimization Y Tian, A Koppel, AS Bedi, JP How IEEE Robotics and Automation Letters 5 (4), 5819-5826, 2020 | 41 | 2020 |
| Consistent online gaussian process regression without the sample complexity bottleneck A Koppel, H Pradhan, K Rajawat Statistics and Computing 31, 1-18, 2021 | 40 | 2021 |
| D4L: Decentralized Dynamic Discrminative Dictionary Learning A Koppel, G Warnell, E Stump, A Ribeiro IEEE Transactions on Signal and Info. Processing over Networks, 2015 | 40 | 2015 |
| Cautious reinforcement learning via distributional risk in the dual domain J Zhang, AS Bedi, M Wang, A Koppel IEEE Journal on Selected Areas in Information Theory 2 (2), 611-626, 2021 | 38 | 2021 |
| Policy Evaluation in Continuous MDPs with Efficient Kernelized Gradient Temporal Difference A Koppel, G Warnell, E Stump, P Stone, A Ribeiro. IEEE Transactions on Automatic Control 66 (4), 2020 | 33* | 2020 |
| Asynchronous online learning in multi-agent systems with proximity constraints AS Bedi, A Koppel, K Rajawat IEEE Transactions on Signal and Information Processing over Networks 5 (3 …, 2019 | 31 | 2019 |
| Asynchronous Decentralized Stochastic Optimization in Heterogeneous Networks AS Bedi, A Koppel, K Rajawat IEEE Trans. Signal Process (submitted)., 2017 | 29* | 2017 |
| A variational approach to dual methods for constrained convex optimization M Fazlyab, A Koppel, VM Preciado, A Ribeiro 2017 American Control Conference (ACC), 5269-5275, 2017 | 29 | 2017 |
Amrit Singh BediAssistant Professor in Department of Computer Science, University of Central Florida, FL, USAucf.edu의 이메일 확인됨
