GDC 2024 Session Viewer

What’s better than starting a day full of awesome content in the Machine Learning Summit? Chairs of the summit will introduce the day with a short glance at Machine Learning impact and how it's helping us all creating better games. Each day covers themes that will be explained before heading straight to impactful initiatives!

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"Streetball Allstar" is a 3v3 street basketball game that attracts players with its real-time competition and fairness. AI bots play an important role in the game. Firstly, they assist beginners in learning and improving, providing examples of exceptional skills and teamwork. Secondly, AI bots serve as teammates or opponents, increasing the diversity and competitiveness of the game. Most importantly, AI bots ensure fair competition, fill the gap when there are not enough players and match players of different tiers with highly customized parameters. In terms of training, we combine reinforcement learning and imitation learning, allowing AI bots to learn a wide range of strategies and simulate human thinking and behavior patterns, possessing human-like qualities and human-AI interaction while also having rich strategy diversity. Through dynamic difficulty control, we can control the operation level of the AI accurately and reasonably, adapting to different skill levels. With the client-side deployment solution, AI bots are decoupled from the core logic of game, improving response speed and ensuring data security. In our demonstration, AI bots have shown outstanding performance in various aspects such as difficulty switching, accurate response, strong adaptability, human-AI interaction, and high stability, receiving enthusiastic praise from both players and our customer.

Takeaway

In this presentation, the audience will learn about the application of AI technology in game development. Firstly, they will be introduced to "Streetball Allstar", a real-time competitive street basketball game where AI bots play an important role. The AI bots assist beginner players in learning and improving, increase the diversity and competitiveness of the game, and ensure fair competition. Secondly, the audience will learn about the training approach of AI bots using a combination of reinforcement learning and imitation learning, making them possess higher human-like qualities, human-AI interaction, and rich strategy diversity. Additionally, the audience will be introduced to the client-side deployment solution, which decouples AI bots from the core logic of game, improving response speed and ensuring data security. Finally, the effect will be demonstrated to showcase the excellent performance of AI bots in the game and user feedback. Through this presentation, the audience will gain an in-depth understanding of the application of AI technology in gaming industry, as well as how to train and deploy AI bots, and stay up-to-date with the latest technologies and trends in game development.