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kwai/DouZero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI observed · 2026-08-28

github.com/kwai/DouZero · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1919
  • days_rel: n/a
  • days_push: 798
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4652 stars · 649 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DouZero is a deep reinforcement learning framework that masters the Chinese card game DouDizhu through self-play, published at ICML 2021 by Kwai. It provides pretrained models and training code for building DouDizhu AI agents.

Use cases

  • train a dou dizhu card game AI
  • learn self-play deep reinforcement learning
  • build a poker game bot
  • research imperfect-information game agents
  • play against a strong dou dizhu AI
  • benchmark card game AI algorithms

When to choose

  • you want a proven, research-grade DouDizhu AI with pretrained models
  • you need a reference implementation of self-play RL for imperfect-information games
  • you want to extend or study game AI based on an ICML-published framework

When to avoid

  • you need a general-purpose game AI framework for arbitrary games (see RLCard instead)
  • you need active feature development or commercial support
  • your game is not DouDizhu or a similar shedding-type card game

Facets

library · maturity maintenance

reinforcement-learning machine-learning game-engine reinforcement-learning artificial-intelligence python cross-platform doudizhu self-play game-ai poker deep-learning card-games game-development

3 sources

Member repositories

RepositoryRoleHealth v2
kwai/DouZeromain23

For agents

markdown · JSON · MCP: product_card(name="kwai/DouZero")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem