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.
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).
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.