36 citations · 237 across the 33 of their papers we have counts for
3 papers · 1 filter
How do Offline Measures for Exploration in Reinforcement Learning behave?
Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano +2
Sufficient exploration is paramount for the success of a reinforcement learning agent. Yet, exploration is rarely assessed in an algorithm-independent way. We compare the behavior…
A Machine Learning model to infer planet masses from gaps observed in protoplanetary disks
Sayantan Auddy, Min-Kai Lin
Observations of bright protoplanetary disks often show annular gaps in their dust emission. One interpretation of these gaps is disk-planet interaction. If so, fitting models of pl…
Magnetic Field Structure in Spheroidal Star-Forming Clouds. II. Estimating Field Structure from Observed Maps
Philip C. Myers, Ian W. Stephens, Sayantan Auddy +3
This paper presents models to estimate the structure of density and magnetic field strength in spheroidal condensations, from maps of their column density and their polarization of…