Graph Neural Network based Agent in Google Research Football

no code implementations • 23 Apr 2022 • Yizhan Niu, Jinglong Liu, Yuhao Shi, Jiren Zhu

Deep neural networks (DNN) can approximate value functions or policies for reinforcement learning, which makes the reinforcement learning algorithms more powerful.

Q-Learning reinforcement-learning +1

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning

no code implementations • 27 Sep 2019 • Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei

We present an overview of SURREAL-System, a reproducible, flexible, and scalable framework for distributed reinforcement learning (RL).

OpenAI Gym reinforcement-learning +2

HiDDeN: Hiding Data With Deep Networks

6 code implementations • ECCV 2018 • Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei

We show that these encodings are competitive with existing data hiding algorithms, and further that they can be made robust to noise: our models learn to reconstruct hidden information in an encoded image despite the presence of Gaussian blurring, pixel-wise dropout, cropping, and JPEG compression.