leela-zero
An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.
What is leela-zero?
Leela Zero is an open-source Go engine that replicates DeepMind's AlphaGo Zero algorithm. It learns to play Go at a superhuman level through self-play reinforcement learning, without any human game data or domain knowledge. The project enables community-driven distributed training to recreate the capabilities of the original AlphaGo Zero system.
Go enthusiasts, AI researchers, and developers interested in reinforcement learning, game AI, or distributed computing projects. It's particularly valuable for those studying the AlphaGo Zero architecture.
Leela Zero provides a fully open-source, transparent implementation of the groundbreaking AlphaGo Zero algorithm. Unlike proprietary systems, it allows community participation in training and offers educational insights into state-of-the-art game AI techniques.
Overview
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
Use Cases
Best For
- Studying the AlphaGo Zero reinforcement learning architecture
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
