2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo, Tim Pearce, Huayu Chen +2
Generative Adversarial Imitation Learning (GAIL) trains a generative policy to mimic a demonstrator. It uses on-policy Reinforcement Learning (RL) to optimize a reward signal deriv…
cs.LG2023★ 1 cited
Stabilizing GANs' Training with Brownian Motion Controller
Tianjiao Luo, Ziyu Zhu, Jianfei Chen +1
The training process of generative adversarial networks (GANs) is unstable and does not converge globally. In this paper, we examine the stability of GANs from the perspective of c…