DouZero is a reinforcement learning-based AI for playing DouDizhu, a popular Chinese card game. It focuses on perfecting AI strategies for competitive play using value-based deep RL techniques.

Features

  • Optimized AI agent for DouDizhu using RL
  • Uses deep value-based algorithms to learn winning strategies
  • Implements multi-agent reinforcement learning setups
  • Includes pre-trained models for benchmarking
  • Offers efficient training pipelines for rapid experimentation
  • Designed for game-specific strategy learning and human-level play

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow DouZero

DouZero Web Site

Other Useful Business Software
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DouZero!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13