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Name: Yichen Zhang
Type: User
Company: The University of Texas at Arlington
Bio: Assistant Professor The University of Texas at Arlington Arlington, TX 76010, USA
Location: 416 Yates Street, Arlington, TX 76010, USA
Name: Yichen Zhang
Type: User
Company: The University of Texas at Arlington
Bio: Assistant Professor The University of Texas at Arlington Arlington, TX 76010, USA
Location: 416 Yates Street, Arlington, TX 76010, USA
Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
Source for Action Schema Networks paper (AAAI'18)
List of resources about programming practices for writing safety-critical software.
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Author's PyTorch implementation of BCQ for continuous and discrete actions
Repository for benchmarking graph neural networks
Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).
OpenAI's cartpole env solver.
Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
A test-driven C++ project template built on CMake and GoogleTest
Constrained Policy Optimization
Code for Data driven discovery of cyber physical systems
My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
A Python-embedded modeling language for convex optimization problems.
Deep Active Learning
PyTorch implementations of deep reinforcement learning algorithms and environments
Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"
DGN Code
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning
Disagreement-Regularized Imitation Learning
Code for three papers on active search published at ICML2017, NeurIPS2018, NeurIPS2019
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.