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Name: Jaxon Kang
Type: User
Bio: Jikun Kang, PH.D. student School of Computer Science and Engineering McGill University Email: [email protected]
Name: Jaxon Kang
Type: User
Bio: Jikun Kang, PH.D. student School of Computer Science and Engineering McGill University Email: [email protected]
Reinforcement learning resources curated
A curated list of pretrained sentence and word embedding models
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch implementation of CommNet
A benchmark for offline reinforcement learning.
Implementation of Data Efficient Reinforcement Learning in Pytorch
Deep Reinforcement Learning based Trading Agent for Bitcoin
This project is the low version about the hardware software co-design of our FPGA + Android Project
Thisi is the official code base for paper "Think Before You Act: Decision Transformers with Internal Working Memory"
A complete daily plan for studying to become a Google software engineer.
Simple reference implementation of GraphSAGE.
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
Assignments for CS294-112.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Paper list of multi-agent reinforcement learning (MARL)
Multi-game Decision Transformer
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
This is the official implementation of paper "Learning Multi-Objective Curricula for Robotic Policy Learning"
This project use Multi MDP method to recommend the passenger pick up for Uber drivers
This is a marker less augmented reality application developed using OpenCV. This code can be used under MIT license. Demo movie: http://youtu.be/KgQguj78qMA
Markless AR transplanted to iOS and Android based on takmin's code. http://meiroo.github.io/projects#ar
PyTorch Exercise Codes for Deep Learning Researchers
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
A list of papers regarding generalization in (deep) reinforcement learning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Simplified version of "State Representation Learning for Control: An Overview" bibliography
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.