IJCAI Chinese Standard Mahjong AI Competition
Jun 1, 2023
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1 min read
IJCAI Competition ResultsAchieved outstanding performance in the prestigious IJCAI Chinese Standard Mahjong AI Competition across two consecutive years:
2023: 7th Place - IJCAI2023 Special Track 2022: 10th Place - IJCAI2022 Competition
Technical Approach
Our solution applied Deep Residual Networks to Mahjong strategy learning:
- Architecture: Implemented CNNs based on ResNet, Res2Net, and DenseNet architectures
- Learning Method: Used supervised learning algorithms for feature extraction and strategy learning
- Training Data: Leveraged large amounts of expert game-play data
- Performance: Demonstrated consistent improvement and competitive ranking
Recognition
- Invited to present at the IJCAI2023 special track
- Recognized among top performers in international AI gaming competition
- Contributed to advancing AI applications in complex strategic games
This achievement demonstrates proficiency in applying state-of-the-art deep learning techniques to complex strategic decision-making problems and competitive performance in international AI competitions.
