zhuyuanyang Goto Github PK
Name: Yuanyang Zhu
Type: User
Bio: I am currently pursuing the Ph.D. degree and my current research interests including reinforcement learning and robotics.
Name: Yuanyang Zhu
Type: User
Bio: I am currently pursuing the Ph.D. degree and my current research interests including reinforcement learning and robotics.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Modified MDP and Q-Learning Algorithm | Multiagent optimization | Path Planning | Navigation | Reinforcement Learning | Stochastic Systems | Swarm Robotics
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
A toolkit for developing and comparing reinforcement learning algorithms.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
High level indoor robot navigation using reinforcement learning with semantic features
Pandas中文教程
Repo containing code for multi-agent deep reinforcement learning (MADRL).
A Platform for Many-agent Reinforcement Learning
Beta code release for Python Multi-Agent Reinforcement Learning framework
Python 进阶学习笔记
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials
Minimal implementations of reinforcement learning algorithms by Tensorflow
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
Deep Reinforcement Learning For Sequence to Sequence Models
Multi-Agent Robotics Simulator
http://www.ros.org/wiki/slam_gmapping
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.