83 citations · 87 across the 3 of their papers we have counts for
3 papers
cs.NE2021★ 3 cited
IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator
Junjie Li, Jingyao Li, Wenbo Zhou +1
The training of generative adversarial networks (GANs) is usually vulnerable to mode collapse and vanishing gradients. The evolutionary generative adversarial network (E-GAN) attem…
cs.LG2021★ 1 cited
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation
Junjie Li, Junwei Zhang, Xiaoyu Gong +1
Generative Adversarial Networks (GAN) is an adversarial model, and it has been demonstrated to be effective for various generative tasks. However, GAN and its variants also suffer…
cs.AI2020★ 83 cited
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Junjie Li, Sotetsu Koyamada, Qiwei Ye +7
Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI. In recent years, studies on game AI h…