3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 3 cited
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang, Quentin Gallouédec, Florian Felten +30
In many Reinforcement Learning (RL) papers, learning curves are useful indicators to measure the effectiveness of RL algorithms. However, the complete raw data of the learning curv…
astro-ph.HE2023★ 2 cited
IceCube -- Neutrinos in Deep Ice The Top 3 Solutions from the Public Kaggle Competition
Habib Bukhari, Dipam Chakraborty, Philipp Eller +3
During the public Kaggle competition "IceCube -- Neutrinos in Deep Ice", thousands of reconstruction algorithms were created and submitted, aiming to estimate the direction of neut…