Artikel dengan mandat akses publik - Amrit Singh BediPelajari lebih lanjut
Tidak tersedia di mana pun: 2
Decentralized Multi-agent Exploration with Limited Inter-agent Communications
HJ He, A Koppel, AS Bedi, DJ Stilwell, M Farhood, B Biggs
2023 IEEE International Conference on Robotics and Automation (ICRA), 5530-5536, 2023
Mandat: US Department of Defense
Escaping Saddle Points for Successive Convex Approximation
AS Bedi, K Rajawat, V Aggarwal, A Koppel
IEEE Transactions on Signal Processing 70, 307-321, 2021
Mandat: US Department of Defense
Tersedia di suatu tempat: 29
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, 2020
Mandat: US National Science Foundation, US Department of Defense, Natural Sciences …
On the possibilities of ai-generated text detection
S Chakraborty, AS Bedi, S Zhu, B An, D Manocha, F Huang
arXiv preprint arXiv:2304.04736, 2023
Mandat: US National Science Foundation, US Department of Defense
Online Learning With Inexact Proximal Online Gradient Descent Algorithms
R Dixit, AS Bedi, R Tripathi, K Rajawat
IEEE Transactions on Signal Processing 67 (5), 1338 - 1352, 2019
Mandat: Department of Science & Technology, India
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
A Elgabli, J Park, AS Bedi, M Bennis, V Aggarwal
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandat: Academy of Finland
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
A Elgabli, CB Issaid, AS Bedi, K Rajawat, M Bennis, V Aggarwal
International Conference on Machine Learning, 5861-5877, 2022
Mandat: Academy of Finland
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
Mandat: US National Aeronautics and Space Administration
Online learning over dynamic graphs via distributed proximal gradient algorithm
R Dixit, AS Bedi, K Rajawat
IEEE Transactions on Automatic Control, 2020
Mandat: Department of Science & Technology, India
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
Mandat: US Department of Defense
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation
AS Bedi, K Rajawat
IEEE Transactions on Signal Processing, 2018
Mandat: Department of Science & Technology, India
Dynamic Online Learning via Frank-Wolfe Algorithm
DS Kalhan, AS Bedi, A Koppel, K Rajawat, H Hassani, AK Gupta, ...
IEEE Transactions on Signal Processing 69, 932-947, 2021
Mandat: Department of Science & Technology, India
Rtaw: An attention inspired reinforcement learning method for multi-robot task allocation in warehouse environments
A Agrawal, AS Bedi, D Manocha
2023 IEEE International Conference on Robotics and Automation (ICRA), 1393-1399, 2023
Mandat: US Department of Defense
Online algorithms for storage utilization under real-time pricing in smart grid
SA Amrit S. Bedi, , P.V. Aditya P., , Md. Waseem Ahmad, , S. Swapnil ...
International Journal of Electrical Power & Energy Systems 101, 50-59, 2018
Mandat: Department of Science & Technology, India
Projection-Free Stochastic Bi-Level Optimization
Z Akhtar, AS Bedi, ST Thomdapu, K Rajawat
IEEE Transactions on Signal Processing 70, 6332-6347, 2022
Mandat: Department of Science & Technology, India
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
AS Bedi, A Koppel, K Rajawat, BM Sadler
arXiv preprint arXiv:1909.05442, 2019
Mandat: US Department of Defense
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments
A Agrawal, S Hariharan, AS Bedi, D Manocha
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Mandat: US Department of Defense
On the sample complexity and metastability of heavy-tailed policy search in continuous control
AS Bedi, A Parayil, J Zhang, M Wang, A Koppel
Journal of Machine Learning Research 25 (39), 1-58, 2024
Mandat: US National Science Foundation, US Department of Defense
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
WA Suttle, A Bedi, B Patel, BM Sadler, A Koppel, D Manocha
International Conference on Machine Learning, 33240-33267, 2023
Mandat: US Department of Defense
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency
A Koppel, AS Bedi, K Rajawat, BM Sadler
IEEE Signal Processing Magazine 37 (3), 61-70, 2020
Mandat: US Department of Defense
Informasi terbitan dan pendanaan ditentukan secara otomatis oleh program komputer