19 citations · 28 across the 5 of their papers we have counts for
7 papers
Construction of non-CSS quantum codes using measurements on cluster states
Swayangprabha Shaw, Harsh Gupta, Shahid Mehraj Shah +1
The Measurement-based quantum computation provides an alternate model for quantum computation compared to the well-known gate-based model. It uses qubits prepared in a specific ent…
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
Joseph Lubars, Harsh Gupta, Sandeep Chinchali +4
We consider the problem of designing an algorithm to allow a car to autonomously merge on to a highway from an on-ramp. Two broad classes of techniques have been proposed to solve…
The Mean-Squared Error of Double Q-Learning
Wentao Weng, Harsh Gupta, Niao He +2
In this paper, we establish a theoretical comparison between the asymptotic mean-squared error of Double Q-learning and Q-learning. Our result builds upon an analysis for linear st…
Mixed Logit Models and Network Formation
Harsh Gupta, Mason A. Porter
The study of network formation is pervasive in economics, sociology, and many other fields. In this paper, we model network formation as a `choice' that is made by nodes in a netwo…
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
Harsh Gupta, R. Srikant, Lei Ying
We study two time-scale linear stochastic approximation algorithms, which can be used to model well-known reinforcement learning algorithms such as GTD, GTD2, and TDC. We present f…
Almost Boltzmann Exploration
Harsh Gupta, Seo Taek Kong, R. Srikant +1
Boltzmann exploration is widely used in reinforcement learning to provide a trade-off between exploration and exploitation. Recently, in (Cesa-Bianchi et al., 2017) it has been sho…