Yunkun Xu's repositories
RL-Simple-implementation-of-AWAC-algorithm
Reinforcement Learning : This project aims at implementing an advanced algorithm called AWAC, Advantage weighted Actor Critic algorithm , which is discussed in \cite{nair2020accelerating} This project will attempt to understand the advantages and explore disadvantages (if any) of this algorithm. The main goal of this algorithm is to accelerate online reinforcement learning using offline datasets, which makes it a very useful tool for using reinforcement learning more efficient. But this task is also an extremely complicated and difficult task. The approach discussed in the paper aims to navigate through this task by efficiently handling its challenges with accumulation of error while bootstrapping, stemming from data inefficiency and excessive conservative on line learning.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
google-access-helper
谷歌访问助手破解版
gym-gazebo2
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
imagination-augmented-agents-tf
Imagination Augmented Agents TensorFlow
Machine-Learning-is-ALL-You-Need
🔥🌤🪐《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, pytorch, tensorflow, keras & the most important, from scratch!💪 This repository is ALL You Need!
MARA
MARA, world's first modular industrial robot arm, official repository
MarkdownPhotos
Photos for blog
MB-MPO-trajectory-buffer
A modification of MB-MPO with trajectory-buffer
ml_implementation
Implementation of Machine Learning Algorithms
numpy-stl
Simple library to make working with STL files (and 3D objects in general) fast and easy.
python-pcl
Python bindings to the pointcloud library (pcl)
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rlkit
Collection of reinforcement learning algorithms
slbo
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。