16 citations · 21 across the 4 of their papers we have counts for
6 papers
TinyTurbo: Efficient Turbo Decoders on Edge
S Ashwin Hebbar, Rajesh K Mishra, Sravan Kumar Ankireddy +3
In this paper, we introduce a neural-augmented decoder for Turbo codes called TINYTURBO . TINYTURBO has complexity comparable to the classical max-log-MAP algorithm but has much be…
A Channel Coding Benchmark for Meta-Learning
Rui Li, Ondrej Bohdal, Rajesh Mishra +4
Meta-learning provides a popular and effective family of methods for data-efficient learning of new tasks. However, several important issues in meta-learning have proven hard to st…
Linear Coding for AWGN channels with Noisy Output Feedback via Dynamic Programming
Rajesh Mishra, Deepanshu Vasal, Hyeji Kim
The optimal coding scheme for communicating a Gaussian message over an Additive White Gaussian noise (AWGN) channel with AWGN output feedback, with a limited number of transmission…
Model-free Reinforcement Learning for Non-stationary Mean Field Games
Rajesh K Mishra, Deepanshu Vasal, Sriram Vishwanath
In this paper, we consider a finite horizon, non-stationary, mean field games (MFG) with a large population of homogeneous players, sequentially making strategic decisions, where e…
Decentralized multi-agent reinforcement learning with shared actions
Rajesh K Mishra, Deepanshu Vasal, Sriram Vishwanath
In this paper, we propose a novel model-free reinforcement learning algorithm to compute the optimal policies for a multi-agent system with cooperative agents where each agent…
Master equation of discrete time graphon mean field games and teams
Deepanshu Vasal, Rajesh K Mishra, Sriram Vishwanath
In this paper, we present a sequential decomposition algorithm equivalent of Master equation to compute GMFE of GMFG and graphon optimal Markovian policies (GOMPs) of graphon mean…