45 citations · 45 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Learning Mathematical Rules with Large Language Models
Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal +2
In this paper, we study the ability of large language models to learn specific mathematical rules such as distributivity or simplifying equations. We present an empirical analysis…
cs.LG2019★ 45 cited
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Cayden Codel, Katja Hofmann +9
Though deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples. As state-of-the-art reinf…