2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Graph Neural Network based Agent in Google Research Football
Yizhan Niu, Jinglong Liu, Yuhao Shi +1
Deep neural networks (DNN) can approximate value functions or policies for reinforcement learning, which makes the reinforcement learning algorithms more powerful. However, some DN…
cs.LG2019★ 1 cited
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
Linxi Fan, Yuke Zhu, Jiren Zhu +6
We present an overview of SURREAL-System, a reproducible, flexible, and scalable framework for distributed reinforcement learning (RL). The framework consists of a stack of four la…
cs.CV2018
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu, Russell Kaplan, Justin Johnson +1
Recent work has shown that deep neural networks are highly sensitive to tiny perturbations of input images, giving rise to adversarial examples. Though this property is usually con…