1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Smart Exploration in Reinforcement Learning using Bounded Uncertainty Models
J. S. van Hulst, W. P. M. H. Heemels, D. J. Antunes
Reinforcement learning (RL) is a powerful framework for decision-making in uncertain environments, but it often requires large amounts of data to learn an optimal policy. We addres…
astro-ph.CO2024★ 1 cited
Constraining Galaxy-Halo Connection Using Machine Learning
Abhishek Jana, Lado Samushia
We investigate the potential of machine learning (ML) methods to model small-scale galaxy clustering for constraining Halo Occupation Distribution (HOD) parameters. Our analysis re…
astro-ph.CO2015
ScalPy: A Python Package For Late Time Scalar Field Cosmology
Sumit Kumar, Abhishek Jana, Anjan A. Sen
We present a python package "ScalPy" for studying the late time scalar field cosmology for a wide variety of scalar field models, namely the quintessence, tachyon and Galileon mode…