Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Coffee_Machine_Control
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
cs231n
斯坦福 cs231n 作业代码实践
CS231n-Spring-2017-Assignment
My implementation about CS231n spring 2017 homework. I chose to use tensorfow to implement assignment3.
cs231n_assignment
homework
Assignments for CS294-112.
LibSVM_SVR_python
Use Python to reappear the epsilon-SVR function in LibSVM.
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.
KunBB's Repositories
KunBB/homework
Assignments for CS294-112.
KunBB/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.
KunBB/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
KunBB/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
KunBB/CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
KunBB/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
KunBB/garage
A toolkit for reproducible reinforcement learning research
KunBB/google-access-helper
谷歌访问助手破解版
KunBB/gym-gazebo2
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
KunBB/Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
KunBB/imagination-augmented-agents-tf
Imagination Augmented Agents TensorFlow
KunBB/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!
KunBB/MARA
MARA, world's first modular industrial robot arm, official repository
KunBB/MarkdownPhotos
Photos for blog
KunBB/MB-MPO-trajectory-buffer
A modification of MB-MPO with trajectory-buffer
KunBB/mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
KunBB/ml_implementation
Implementation of Machine Learning Algorithms
KunBB/models
Models and examples built with TensorFlow
KunBB/numpy-stl
Simple library to make working with STL files (and 3D objects in general) fast and easy.
KunBB/PARL
PARL A high-performance distributed training framework for Reinforcement Learning （『飞桨』强化学习库 ）
KunBB/pcl
Point Cloud Library (PCL)
KunBB/python-pcl
Python bindings to the pointcloud library (pcl)
KunBB/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
KunBB/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
KunBB/rlkit
Collection of reinforcement learning algorithms
KunBB/slbo
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
KunBB/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.
KunBB/stac
Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.
KunBB/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。
KunBB/zjuthesis
Zhejiang University Graduation Thesis/Design LaTeX template.