Yaser Keneshloo

Deep Reinforcement Learning for Sequence-to-Sequence Models

2019 · IEEE Transactions on Neural Networks and Learning Systems

In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks, such as machine translation, headline generation, text summarization, speech-to-text conversion, and image caption …