2 papers
cs.LG2021
Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation
Semih Cayci, Siddhartha Satpathi, Niao He +1
In this paper, we study the dynamics of temporal difference learning with neural network-based value function approximation over a general state space, namely, \emph{Neural TD lear…
cs.LG2018
Learning Latent Events from Network Message Logs
Siddhartha Satpathi, Supratim Deb, R Srikant +1
We consider the problem of separating error messages generated in large distributed data center networks into error events. In such networks, each error event leads to a stream of…