Search Results for author:
Found 3 papers, 1 papers with code
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Applying Reinforcement learning (RL) following maximum likelihood estimation (MLE) pre-training is a versatile method for enhancing neural machine translation (NMT) performance.
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Training (MRT) and Generative Adversarial Networks (GAN).
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
We compare our approach to commonly used RL techniques, and show that using $E$-values improves learning and performance over traditional counters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
