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cs.LG2021
Scheduling to Learn In An Unsupervised Online Streaming Model
R. Vaze, Santanu Rathod
An unsupervised online streaming model is considered where samples arrive in an online fashion over slots. There are classifiers, whose confusion matrices are unknown a pri…
cs.LG2021
On reducing the order of arm-passes bandit streaming algorithms under memory bottleneck
Santanu Rathod
In this work we explore multi-arm bandit streaming model, especially in cases where the model faces resource bottleneck. We build over existing algorithms conditioned by limited ar…
cs.LG2021★ 2 cited
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
Santanu Rathod, Manoj Bhadu, Abir De
Owing to the growth of interest in Reinforcement Learning in the last few years, gradient based policy control methods have been gaining popularity for Control problems as well. An…