mlsanityData to 14 Oct 2026

Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating

arXiv 2402.13582 ↗First posted 21 Feb 2024cs.AI cs.LGcited by 1

On the map: Deep reinforcement learning methods → RL for games and combinatorial optimization

Abstract (arXiv)

Games are a simplified model of reality and often serve as a favored platform for Artificial Intelligence (AI) research. Much of the research is concerned with game-playing agents and their decision making processes. The game of Guandan (literally, "throwing eggs") is a challenging game where even professional human players struggle to make the right decision at times. In this paper we propose a framework named GuanZero for AI agents to master this game using Monte-Carlo methods and deep neural networks. The main contribution of this paper is about regulating agents' behavior through a carefully designed neural network encoding scheme. We then demonstrate the effectiveness of the proposed framework by comparing it with state-of-the-art approaches.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in RL for games and combinatorial optimization, one of 15 directions in Deep reinforcement learning methods. Builds on 9 of its 30 references that are in the map. First posted on arXiv 21 Feb 2024.

Builds on

9 of 30 references.

References · 9

  1. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,258
  2. 2019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelcited by 1,353
  3. 2019Dota 2 with Large Scale Deep Reinforcement Learningcited by 1,103
  4. 2017DeepStack: Expert-Level Artificial Intelligence in No-Limit Pokercited by 233
  5. 2019Mastering Complex Control in MOBA Games with Deep Reinforcement Learningcited by 161
  6. 2016Deep Reinforcement Learning from Self-Play in Imperfect-Information Gamescited by 158
  7. 2021DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learningcited by 66
  8. 2020Suphx: Mastering Mahjong with Deep Reinforcement Learningcited by 58
  9. 2023DanZero+: Dominating the GuanDan Game through Reinforcement Learningcited by 6

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

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  1. 2025Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
  2. 2025ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
  3. 2025Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong
  4. 2026Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition
  5. 2017Thinking Fast and Slow with Deep Learning and Tree Search
  6. 2026From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
  7. 2024Enhancing Chess Reinforcement Learning with Graph Representation
  8. 2026Mastering the Game of Go with Self-play Experience Replay