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Player of Games

arxiv.org

81–90 of 242 posts

Re: Player of Games

#81
post #74

I want to see deepmind make a bot to play team based first person shooters like csgo and rainbow6 siege, to stack up five of them against a team of professional players.

Honestly that probably won't be too interesting as (a) one AI could perfectly control several agents (ie perfect coordination of global strategies) and (b) an AI has low to no reaction times and perfect aim (aimbots already have that) so I would expect that would quickly result in a slaughterfest.

Same applies to dota2, and it was very interesting what they did there. But yeah first they would need to simulate how human players react and aim, or it would be impossible to play against.

Re: Player of Games

#82
Comparing against Stockfish 8 in a paper released today and labeling it as "Stockfish" is bordering on being dishonest. The current stockfish version (14) would make AlphaZero look bad, so they don't include it ...

Re: Player of Games

#86
post #82

Comparing against Stockfish 8 in a paper released today and labeling it as "Stockfish" is bordering on being dishonest. The current stockfish version (14) would make AlphaZero look bad, so they don't include it ...

The name of the game here is generality. For a really general agent, they are looking to have superhuman performance, not get state of the art on every individual task. Beating stockfish 8 convinces me that it would be superhuman at chess.

Re: Player of Games

#87
post #3

This is clearly part of DeepMind's long-game plan to achieve world domination through board game mastery. Naming the new algorithm after the book is a real tip of their hand... https://en.wikipedia.org/wiki/The_Player_of_Games

"In 2015, two SpaceX autonomous spaceport drone ships—Just Read the Instructions and Of Course I Still Love You—were named after ships in the book, as a posthumous tribute to Banks by Elon Musk"

Shame they didn't go with Pure Big Mad Boat Man.

Re: Player of Games

#88
post #70
post #17

Earlier quoted context omitted.

Fun fact: The consensus between professional go and chess players is that all new AI systems (alphago, etc) have really revitalised the game and introduced incredible amount of new strategies and depth.

I wish alphago was more "democratized" -- that is to say, I have many questions and experiments I'd love to run on it (a friend of mine and I have frequently pondered Go played in various different topological spaces, and I'd love to see an AI's result, for example).

Fun idea. Did you reach any interesting conclusions?
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