Jump to content
  • Advertisement
Sign in to follow this  
khawk

Deep Learning StarCraft Strategies

This topic is 533 days old which is more than the 365 day threshold we allow for new replies. Please post a new topic.

If you intended to correct an error in the post then please contact us.

Recommended Posts

NVIDIA posted a story about how researchers at Alibaba and University College London developed a deep-learning based system that learned how to execute strategies in the real-time strategy game Starcraft.

Using CUDA, TITAN X and GTX 1080 GPUs and cuDNN with the TensorFlow deep learning framework, the large-scale multiagent system used reinforcement learning to learn strategies employed by high-level players without being given any specific instruction on how best to manage combat. The software improved through trial and error and adapts to changes in the number and type of troops engaged in battle.

View the paper at arXiv.


View full story

Share this post


Link to post
Share on other sites
Advertisement
Sign in to follow this  

  • Advertisement
×

Important Information

By using GameDev.net, you agree to our community Guidelines, Terms of Use, and Privacy Policy.

We are the game development community.

Whether you are an indie, hobbyist, AAA developer, or just trying to learn, GameDev.net is the place for you to learn, share, and connect with the games industry. Learn more About Us or sign up!

Sign me up!