Valve: Deadlock matchmaking algorithm is recommended by AI
Recently, a Valve engineer revealed that he has used AI to improve the Deadlock matchmaking algorithm.
Key takeaways
- Valve engineer Fletcher Dunn used ChatGPT to improve the Deadlock matchmaking algorithm.
- ChatGPT recommended Dunn the Hungarian algorithm, a well-known solution for optimization problems.
- Dunn noted that using ChatGPT saved him considerable time and effort compared to traditional methods.
Valve engineer Fletcher Dunn has shared with the gaming community that ChatGPT played a key role in refining Deadlock’s matchmaking system. Matchmaking issues in MOBA games are notoriously difficult to solve due to a mix of technical challenges, smurf accounts, and disruptive players. Striking a balance that keeps players satisfied has always been a daunting task for developers. So, Dunn sought a new perspective by leveraging ChatGPT. Surprisingly, ChatGPT exceeded his expectations. And the matchmaking system suggested by said AI is now used in Deadlock.
Dunn described a hypothetical algorithm he envisioned to ChatGPT. The AI then recommended the Hungarian algorithm—a real and widely used solution for optimization problems. Dunn was so impressed with the tool’s accuracy and efficiency. He noted that he could have found the algorithm with a well-targeted Google search. However, ChatGPT delivered exactly what he needed even though his description was vague. This saved him a lot of time and effort compared to what the process was supposed to take.
The use of AI in various aspects of life continues to be a topic of debate. However, it’s evident that AI can significantly streamline processes when used effectively as a tool. Developers like Dunn have found a balance by utilizing ChatGPT for problem-solving, acting as an advanced search engine, and automating complex tasks that typically require substantial time and effort.
What are your thoughts on the Deadlock matchmaking system? Do you think AI has done a great job, or is there still room for improvement? Share your opinions in the comments!
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