justin-yuan Goto Github PK
Name: Justin Yuan
Type: User
Company: University of Toronto
Location: Toronto
Name: Justin Yuan
Type: User
Company: University of Toronto
Location: Toronto
repo for the 2017 Global AI Hackathon Challenge
Web interface for browsing, search and filtering recent arxiv submissions
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Sort batteries (AA, C, 9V) using PIC18F4620
Cansat 2017 competition code
UofT MIE443 Capstone
Constrained Markov Decision Processes via Backward Value Functions
A paper list of object detection using deep learning.
Modularized Implementation of Deep RL Algorithms in PyTorch
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
refactored repo for efficient rl, picking up from the 2020-neurips-procgen-competition
RL environment and agents for Gensin Impact's Genius Invokation TCG card game.
Google Research
A toolkit for developing and comparing reinforcement learning algorithms.
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Generate music from images using customized mapping rules
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
undergrad thesis on the emergence of multi-agent behaviours
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
collections of my leetcode studies
Neural MMO - A Massively Multiagent Game Environment
Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd
Neural relational inference for interacting systems - pytorch
AI bot implementation for Luminis Game in Orbis Challenge 2017
Collection of my reading notes
Beta code release for Python Multi-Agent Reinforcement Learning framework
StarCraft II Learning Environment
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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.