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Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. All registered attendees will be able to build their personal schedule directly within the event platform, once live early July 2021. All times are listed in Pacific Time.

Machine Learning Summit: Training and Improvement of Bots in Card Games, and Why Do We Need Them?

Yiheng Zhou  (Senior Data Analyst, NetEase)

Date: Tuesday, July 20

Time: 2:40pm - 3:10pm

Pass Type: All Access Pass, Summits Pass

Topic: Programming

Format: Session

Vault Recording: Video

Audience Level: N/A: I prefer to present live on-site but I am open to delivering a virtual presentation

The performance of bot players in a multiplayer online card game can have a significant impact on the player's experience, especially if the game mode is both confrontational and cooperative. However, the battle in this kind of game will be greatly affected by the randomness and information incompleteness brought by the game mechanism, which can increase the training difficulty of bot players. The speakers use cutting-edge artificial intelligence methods to train and improve bots in a card game, combining real player matchup data and reinforcement learning algorithms. They also discuss the impact of bot players on the user experience in multiplayer online games.


The audience can learn how to train and improve bot players in multi-player online card games. And they can also know the impact on user experience in multi-player online card games.

Intended Audience

Game designers who need to use bot opponents to improve user experience in multi-player online card games, or game operators who need to know how bot opponents make impact on user experience in multi-player online card games.