96 citations · 369 across the 74 of their papers we have counts for
9 papers · 1 filter
RLWS: A Reinforcement Learning based GPU Warp Scheduler
Jayvant Anantpur, Nagendra Gulur Dwarakanath, Shivaram Kalyanakrishnan +2
The Streaming Multiprocessors (SMs) of a Graphics Processing Unit (GPU) execute instructions from a group of consecutive threads, called warps. At each cycle, an SM schedules a war…
A Novel RF Energy Harvesting Module Integrated on a Single Substrate
Monika Mathur, Ankit Agarawal, Ghanshyam Singh +1
This paper presents the RF energy harvesting module (RECTENNA). The working range of this module includes multiple bands i.e. GSM, ISM, WLAN, and UWB band. To enhance the capturing…
A unified decision making framework for supply and demand management in microgrid networks
Diddigi Raghuram Bharadwaj, Sai Koti Reddy Danda, Krishnasuri Narayanam +1
This paper considers two important problems -- on the supply-side and demand-side respectively and studies both in a unified framework. On the supply side, we study the problem of…
Analyzing Approximate Value Iteration Algorithms
Arunselvan Ramaswamy, Shalabh Bhatnagar
In this paper, we consider the stochastic iterative counterpart of the value iteration scheme wherein only noisy and possibly biased approximations of the Bellman operator are avai…
Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids
Raghuram Bharadwaj Diddigi, D. Sai Koti Reddy, Shalabh Bhatnagar
We consider the problem of minimizing the difference in the demand and the supply of power using microgrids. We setup multiple microgrids, that provide electricity to a village. Th…
Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks
Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
We consider the problem of tracking an intruder using a network of wireless sensors. For tracking the intruder at each instant, the optimal number and the right configuration of se…