YidingYu

DLMA

The is a research project I am working on :)

UCL-DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

Advanced course on Deep Learning and Reinforcement Learning given by DeepMind team at UCL.

To-be-a-researcher

A list of advice on doing research that is useful for me :)

CS-DLMA

A CSMA protocol based on deep reinforcement learning

ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-courses

:books: List of awesome university courses for learning Computer Science!

Decentralized-AP-selection-using-Multi-Armed-Bandits

Matlab code for opportunistic epsilon-greedy with stickiness

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Deep-Reinforcement-Learning-Practice

Practice of Deep Reinforcement Learning with Keras and gym.

Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

Foo

磨刀不误砍柴工

Komondor

Komondor Wireless Networks Simulator

lab

A customisable 3D platform for agent-based AI research

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

moq-js

Typescript library for Media over QUIC

moq-rs

Rust library for Media over QUIC

multiagent-particle-envs

ns3-802.11ax-simulator

NS3 Simulator of 802.11ax

pantheon

Pantheon of Congestion Control

Practical-Deep-Reinforcement-Learning

Predicting_Winning_Teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Tidy-Reinforcement-learning

Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC).

wtfpython

A collection of surprising Python snippets and lesser-known features.

yidingyu.github.io

my personal website