Bin Chen's repositories
Attention-ATN
Attack-IJCAI-2019-AAAC:An Attention-ATN to generate Adversarial Examples
Articles
:notebook_with_decorative_cover: 简书文章中的材料
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
models
Models and examples built with TensorFlow
rl_paper
paper which about reinforcement learning in Dec 2018
pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
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
pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
asymmetric-actor-critic
Implementation of Asymmetric Actor Critic for Image-Based Robot Learning in Tensorflow.
nips-2017-adversarial
Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track