A bot just defeated one of the world's best video gamers

hawki · Nov 27, 2019

"Go grandmaster says computers 'cannot be defeated'

Seoul (AFP) - The only human ever to beat Google's computer algorithm at the ancient Chinese strategy game Go decided to retire because he is convinced machines 'cannot be defeated', ...

South Korean Lee Se-Dol's five-match showdown with Google's artificial intelligence program AlphaGo in 2016 raised both the game's profile and fears of computer intelligence's seemingly limitless learning capability...

The machines have since developed much further -- an updated self-teaching version of the algorithm beat its predecessor 100 games to none..."

https://news.yahoo.com/grandmaster-says-computers-cannot-defeated-104015667.html

guest · Dec 23, 2019

Tencent details how its MOBA-playing AI system beats 99.81% of human opponents
December 23, 2019
https://venturebeat.com/2019/12/23/...ing-ai-system-beats-99-81-of-human-opponents/

In August, Tencent announced it had developed an AI system capable of defeating teams of pros in a five-on-five match in Honor of Kings (or Arena of Valor, depending on the region).
This was a noteworthy achievement — Honor of Kings occupies the video game subgenre known as multiplayer online battle arena games (MOBAs), which are incomplete information games in the sense that players are unaware of the actions other players choose.

A paper published this week peels back the layers of Tencent’s technique, which the coauthors describe as “highly scalable.” They claim its novel strategies enable it to explore the game map “efficiently,” with an actor-critic architecture that self-improves over time.
Training one hero required 48 graphics cards and 18,000 processor cores at a speed of about 80,000 samples per second per card. And collectively for every day of training, the system accumulated the equivalent of 500 years of human experience.
Click to expand...

The AI’s Elo score, derived from a system for calculating the relative skill levels of players in zero-sum games, unsurprisingly increased steadily with training, the coauthors note. It became relatively stable within 80 hours, according to the researchers, and within just 30 hours it began to defeat the top 1% of human Honor of Kings players.
Click to expand...

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