stevenyangyj Goto Github PK
Name: Yijun Yang
Type: User
Company: University of Technology Sydney
Bio: stevenyangyj.github.io
Location: Sydney, Australia; Shenzhen, China
Blog: https://scholar.google.com/citations?user=X0quXnsAAAAJ&hl=en
Name: Yijun Yang
Type: User
Company: University of Technology Sydney
Bio: stevenyangyj.github.io
Location: Sydney, Australia; Shenzhen, China
Blog: https://scholar.google.com/citations?user=X0quXnsAAAAJ&hl=en
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
An implementation of the Augmented Random Search algorithm
Python code for bayesian optimization using Gaussian processes
My solutions to the UC Berkeley AI Pacman Projects
A BSO algorithm
2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Generative Art Experiments
A lite-version hopenet for head pose estimation with PyTorch
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Dirichlet Process K-means
Demo version Covariance Matrix Adaptation Evolution Strategy (CMAES) is mainly provided for educational purpose: reading, understanding and running basic experiments
Official code for the paper: Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld
The codes, data and figures for paper submitted to EMO-2019
infinite mixture prototypes for few-shot learning
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Repo containing code for multi-agent deep reinforcement learning (MADRL).
In this repository, I have made a maze solving system. The system takes in input of an maze using a camera. This Image is converted into a grid. It lets you find the shortest path between any two points
An open source robotics benchmark for meta- and multi-task reinforcement learning
A non-fully separable benchmark function suit for testing optimization algorithm
Official code for the paper: Pareto Policy Pool for Model-based Offline Reinforcement Learning
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
📚A practical approach to learning and using machine learning.
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Python Implementation of Reinforcement Learning: An Introduction
The exercising code and some algorithms implementation for the text book "Reinforcement Learning: An Introduction"
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.