A python package of Zeroth-Order Optimization (ZOOpt)

Client of distributed ZOOpt in Julia

Servers of distributed ZOOpt in Python

Used as the AWRL Website

Open category classification by adversarial sample generation

A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms

A machine learning based fine-grained disease transmission simulator

Virtual-Taobao simulators with OpenAI Gym interface

Meta-Reinforcement Learning with Policy Residual Representation

Binary Linear Compression for Multi-label Classification

Codes of our team for the OpenAI Retro Contest of reinforcement learning

Learning Environmental Calibration Actions for Policy Self-Evolution

Mixture of Generative Adversarial Networks for Clustering

Sequential Random Embedding for High-Dimensional Derivative-Free Optimization