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

License: MIT License

Python 99.98% Shell 0.02%
reinforcement-learning transfer-learning starcraft2 starcraft-broodwar starcraft2-ai starcraft-ii-bot deep-reinforcement-learning deep-neural-networks starcraft starcraft-ii

thought-sc2's Introduction

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.

🔭 I focus on:

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

😄 I am open to:

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

thought-sc2's People

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thought-sc2's Issues

2019《thought-sc2》以及2018年《On Reinforcement Learning for Full-length Game of StarCraft》相关提问

刘老哥您好,我对星际争霸很感兴趣,最近在看强化学习在星际争霸上面的实验应用和论文,看到了俞老师组2018.2019年的工作,有个疑问想请问一下您,希望老哥您有时间回答一下。
1.看到这个是最近更新的,请问相比于https://github.com/StarBeta/Thought-SC2 之前的版本有什么更新点呢?
2.https://github.com/StarBeta/Thought-SC2 与本篇代码都是19年工作的代码,想问一下老哥18年《On Reinforcement Learning for Full-length Game of StarCraft》的代码有公开吗?可不可以问一下具体的训练细节?
3.您们在19年之后还有星际争霸的相关工作吗?

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