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ORCIDRajesh K. Mishra
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2020 – today
- 2023
[j3]Rajesh K. Mishra
, Deepanshu Vasal, Sriram Vishwanath:
Model-Free Reinforcement Learning for Mean Field Games. IEEE Trans. Control. Netw. Syst. 10(4): 2141-2151 (2023)- [j2]Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming. IEEE Trans. Inf. Theory 69(8): 4889-4906 (2023) - [i7]Yanni Georghiades, Rajesh K. Mishra, Karl Kreder, Sriram Vishwanath:
Majority is Not Required: A Rational Analysis of the Private Double-Spend Attack from a Sub-Majority Adversary. CoRR abs/2312.07709 (2023) - 2022
- [j1]Karl Chahine, Rajesh K. Mishra, Hyeji Kim:
Inventing Codes for Channels With Active Feedback via Deep Learning. IEEE J. Sel. Areas Inf. Theory 3(3): 574-586 (2022) - [c11]S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath:
TinyTurbo: Efficient Turbo Decoders on Edge. ISIT 2022: 2797-2802 - [i6]S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath:
TinyTurbo: Efficient Turbo Decoders on Edge. CoRR abs/2209.15614 (2022) - 2021
- [c10]Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath:
Sequential Decomposition of Graphon Mean Field Games. ACC 2021: 730-736 - [c9]Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Decentralized Multi-agent Reinforcement Learning with Shared Actions. CISS 2021: 1-6 - [c8]Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming. ISIT 2021: 13-18 - [c7]Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath:
Distributed Interference Alignment for K-user Interference Channels via Deep Learning. ISIT 2021: 2614-2619 - [c6]Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales:
A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks 2021 - [i5]Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim:
Gaussian Channels with Feedback: A Dynamic Programming Approach. CoRR abs/2103.10807 (2021) - [i4]Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales:
A Channel Coding Benchmark for Meta-Learning. CoRR abs/2107.07579 (2021) - 2020
- [c5]Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Model-free Reinforcement Learning for Stochastic Stackelberg Security Games. CDC 2020: 348-353 - [c4]Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Model-free Reinforcement Learning for Non-stationary Mean Field Games. CDC 2020: 1032-1037 - [c3]Yitao Chen, Rajesh K. Mishra, Dan Schwartz, Sriram Vishwanath:
MIMO Full Duplex Radios with Deep Learning. ICC Workshops 2020: 1-6 - [c2]Rajesh K. Mishra, Yitao Chen, Ian P. Roberts:
Collision Detection in Dense Wi-Fi Networks using Self-Interference Cancellation. ICC Workshops 2020: 1-6 - [i3]Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath:
Sequential decomposition of graphon mean field games. CoRR abs/2001.05633 (2020) - [i2]Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Decentralized multi-agent reinforcement learning with shared actions. CoRR abs/2003.10185 (2020) - [i1]Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Model-free Reinforcement Learning for Non-stationary Mean Field Games. CoRR abs/2004.02073 (2020)
2010 – 2019
- 2019
- [c1]Farzad Mokhtari-Koushyar, Monireh Moayedi Pour Fard, McKay B. Bradford, Thien-An Nguyen, Rajesh K. Mishra, Sriram Vishwanath:
Nonlinear Distortions Induced by Coherent Combinations in Microwave Photonic Links. GLOBECOM 2019: 1-6
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