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articles

:notebook_with_decorative_cover: 简书文章中的材料

asymmetric-actor-critic

Implementation of Asymmetric Actor Critic for Image-Based Robot Learning in Tensorflow.

attention-atn

Attack-IJCAI-2019-AAAC:An Attention-ATN to generate Adversarial Examples

deep-rl

Collection of Deep Reinforcement Learning algorithms

kuka_pybullet-for-pick-and-place

# Kuka_Pybullet for pick and place This script can be used for the research of robotic reinforcement learning. The script builds a simulation environment for robot manipulation about pick and place based on the pybullet simulation environment. Users can incorporate this environment into the reinforcement learning algorithm for online data collection and performance evaluation. ## Instructions The code was tested on Linux with Python3.6. Use of virtualenvs is recommended. To run: ``` pip install -r requirements.txt python main.py

mldg

The demo codes for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

models

Models and examples built with TensorFlow

nips-2017-adversarial

Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

rainbow_ddpg

rl_paper

paper which about reinforcement learning in Dec 2018

tensorflow-allreduce