2 papers
cs.CL2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Haiyan Yin, Dingcheng Li, Xu Li +1
Training generative models that can generate high-quality text with sufficient diversity is an important open problem for Natural Language Generation (NLG) community. Recently, gen…
cs.LG2019
Context-aware Active Multi-Step Reinforcement Learning
Gang Chen, Dingcheng Li, Ran Xu
Reinforcement learning has attracted great attention recently, especially policy gradient algorithms, which have been demonstrated on challenging decision making and control tasks.…