zifanwu Goto Github PK
Name: zifanwu
Type: User
Name: zifanwu
Type: User
Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"
Code accompanying paper "Coordinated Proximal Policy Optimization"
Code accompanying paper "Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning".
A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
Library for Model Based RL
OmniSafe is an infrastructural framework for accelerating SafeRL research.
Code accompanying paper "Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning".
re-implementation of the offline model-based RL algorithm MOPO in pytorch
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
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.