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Type: User
Bio: PhD Candidate in Reinforcement learning and Robotics
Type: User
Bio: PhD Candidate in Reinforcement learning and Robotics
ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Model-based Reinforcement Learning Framework
博客
GP model to handle hybrid data: discrete and continuous, for its use on learning from robot failures
A tutorial about building a customized basic gym environment.
编程开发相关书籍整理分享,持续更新...
A collection of tools and plugins for Gazebo
gazebo-ros-plugins, get-joints-values, subscribe-topics
Large-scale pretrained models for goal-directed dialog
开源机器人学学习指南
Hybrid Reward Architecture
Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Lindemann, H. Zhang, D. V. Dimarogonas, S. Tu, and N. Matni, https://arxiv.org/abs/2004.03315
My personal page
7th ICML AutoML workshop, 2020.
Exposition of my model-based reinforcement learning research
Models and examples built with TensorFlow
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
The official repository for the CVPR 2019 paper "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"
Objects detection based on RGB-D and Jetson TX1 during the RoboCup MSL
Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs
A project to classify different objects from given images using different techniques including Linear Discriminant Analysis(LDA), Support Vector Machine(SVM), etc.
Bayesian Reinforcement Learning in Tensorflow
Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/
PyTorch implementation of soft actor critic
A Reinforcement Learning package for 6th semester project
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
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.