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I am a Ph.D. of Nanjing University (NJU) in China. Before that, I was a data scientist at CICDI China. I have led > 5 machine learning open-source projects, receiving > 6000 stars and > 2500 forks. I specialize in building deep reinforcement learning agents with applications in games (such as StarCraft I and II) and computer vision systems with applications in plate license recognition.

πŸ”­ I focus on:

  • Hierarchical Reinforcement Learning topics to solve complex games or environments.
  • Model-based Reinforcement Learning topics to do efficient training.

πŸ˜„ I am open to:

  • Paper review
  • Internship: Reinforcement Learning on Game AI.

liuruoze's Projects

betastar icon betastar

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

easypr icon easypr

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

easypr_dll icon easypr_dll

An dll to do the same function of EasyPR, and the sample !

edges icon edges

Structured Edge Detection Toolbox

genetics icon genetics

A python library for genetic algorithms

hiernet-sc2 icon hiernet-sc2

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

jieba icon jieba

η»“ε·΄δΈ­ζ–‡εˆ†θ―

mini-alphastar icon mini-alphastar

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

mser icon mser

Linear time Maximally Stable Extremal Regions implementation

raw-vs-human-in-alphastar icon raw-vs-human-in-alphastar

(TG'2023) Official code for the paper "Revisiting of AlphaStar" (previously called "Rethinking of AlphaStar"). It compares the raw interface with the human interface in the architecture of AlphsStar. TG = Transactions on Games

reinforcement-learning icon reinforcement-learning

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

starcraft icon starcraft

Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

tea icon tea

Tea is a simple and easy Deep Learning framework aims for teaching, reading and learning. More details will come soon in a few months.

thought-sc2 icon thought-sc2

(TG'2021) Code for paper "Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning". TG = Transactions on Games.

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