Rajesh K. Mishra

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Nash Equilibria

Reinforcement Learning

Dynamic Programming

Top Venues

Publications

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 (2023)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Model-Free Reinforcement Learning for Mean Field Games. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
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) (2023)
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) (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. ISIT (2022)
S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath
TinyTurbo: Efficient Turbo Decoders on Edge. CoRR (2022)
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
Linear Coding for AWGN Channels with Noisy Output Feedback via Dynamic Programming. ISIT (2021)
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)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Decentralized Multi-agent Reinforcement Learning with Shared Actions. CISS (2021)
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 (2021)
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)
Rajesh K. Mishra, Deepanshu Vasal, Hyeji Kim
Gaussian Channels with Feedback: A Dynamic Programming Approach. CoRR (2021)
Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath
Sequential Decomposition of Graphon Mean Field Games. ACC (2021)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Model-free Reinforcement Learning for Non-stationary Mean Field Games. CoRR (2020)
Rajesh K. Mishra, Yitao Chen, Ian P. Roberts
Collision Detection in Dense Wi-Fi Networks using Self-Interference Cancellation. ICC Workshops (2020)
Yitao Chen, Rajesh K. Mishra, Dan Schwartz, Sriram Vishwanath
MIMO Full Duplex Radios with Deep Learning. ICC Workshops (2020)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Decentralized multi-agent reinforcement learning with shared actions. CoRR (2020)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Model-free Reinforcement Learning for Non-stationary Mean Field Games. CDC (2020)
Deepanshu Vasal, Rajesh K. Mishra, Sriram Vishwanath
Sequential decomposition of graphon mean field games. CoRR (2020)
Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath
Model-free Reinforcement Learning for Stochastic Stackelberg Security Games. CDC (2020)
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)