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cs.LG2021★ 12 cited
An Analysis of Frame-skipping in Reinforcement Learning
Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat +5
In the practice of sequential decision making, agents are often designed to sense state at regular intervals of time steps, , ignoring state information in between sensi…
cs.LG2020
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
Varun Bhatt, Shalini Shrivastava, Tanmay Chavan +1
The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning. Resistive processing unit (RPU) has been pr…