6 citations · 6 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 6 cited
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Asaf Yehudai, Leshem Choshen, Lior Fox +1
Applying Reinforcement learning (RL) following maximum likelihood estimation (MLE) pre-training is a versatile method for enhancing neural machine translation (NMT) performance. Ho…
cs.CL2019
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud +1
Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Trainin…
cs.LG2018
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Leshem Choshen, Lior Fox, Yonatan Loewenstein
Exploration is a fundamental aspect of Reinforcement Learning, typically implemented using stochastic action-selection. Exploration, however, can be more efficient if directed towa…