liuzuxin Goto Github PK
Name: Zuxin
Type: User
Company: Carnegie Mellon University
Bio: Research Scientist @SalesforceAIResearch; PhD @ CMU; Summers @ AWS, @ Nuro, @ DJI
Location: Pittsburgh, PA
Blog: www.zuxin.me
Name: Zuxin
Type: User
Company: Carnegie Mellon University
Bio: Research Scientist @SalesforceAIResearch; PhD @ CMU; Summers @ AWS, @ Nuro, @ DJI
Location: Pittsburgh, PA
Blog: www.zuxin.me
combine multicopter with VR
Advanced implementation of LOAM, add Hesai Pandar 40p LiDAR support.
Steering Behaviors For Autonomous Characters
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
Implementation of Deep Q-Network(DQN)and Model Predictive Control, and their evaluation on the Quanser robot platform
Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
🔥 Datasets and env wrappers for offline safe reinforcement learning
⭐ A lightweight tool for efficiently managing and executing parallel experiments.
🚀 A fast safe reinforcement learning library in PyTorch
A minimalist environment for decision-making in autonomous driving
Benchmarking Knowledge Transfer in Lifelong Robot Learning
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
model based reinforcement learning with MPC controller
Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
My personal Ubuntu env config
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
Simulate precise LiDAR point cloud data from Carla
Implementations of safe reinforcement learning algorithms
Store the experiment results (model and data) of DQN and MPC
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
The repository is for safe reinforcement learning baselines.
Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
ROS packages for Scout mobile base
An educational resource to help anyone learn deep reinforcement learning.
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.