5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng +8
One of the key challenges in deploying RL to real-world applications is to adapt to variations of unknown environment contexts, such as changing terrains in robotic tasks and fluct…
cs.LG2021★ 5 cited
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization
Yufeng Zheng, Yunkai Zhang, Zeyu Zheng
Conditional Generative Adversarial Networks are known to be difficult to train, especially when the conditions are continuous and high-dimensional. To partially alleviate this diff…
stat.ML2020★ 1 cited
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation
Yufeng Zheng, Zeyu Zheng, Tingyu Zhu
We propose a framework that integrates classical Monte Carlo simulators and Wasserstein generative adversarial networks to model, estimate, and simulate a broad class of arrival pr…