7th Place - IJCAI 2023 Chinese Standard Mahjong AI Competition

Achieved strong performance in the IJCAI 2023 Chinese Standard Mahjong AI Competition:

2023: 7th Place - IJCAI 2023 Special Track

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 IJCAI 2023 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.