Literally everything we have right now that’s doable with AI, people said this about. We already know that video game AIs can surprise us with unconventional but effective strategies, and if there were any game that encouraged unconventional strategies, it’s Dota. It could use some updating. Non-nvidia is really not a thing in ai research. Of course, the problem with that is that the bot might have to learn an entirely new playstyle for the hero to make use of that build say, Vanguard early teamfighting AM as opposed to traditional Treads into BF. We’ve actually seen that in both Chess bots and Go bots.
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NP problems we think can’t be solved in polynomial time.
Just because there is a physical limitation on the machine running it, and the game will likely bug out when it reaches a certain amount of time, doesn’t mean it’s limited theoretically. While chess tree complexity is extremely high, Dota complexity is infinite.
Hey, aeberharter, just a quick heads-up: After all even chess was not beaten overnight and it took how long?
Epulze | Same game, more at stake
Besides, the last hitting is not even the strong point of OpenAI Five: Do you have something funny to share with fellow programmers?
My main issue here is the heuristics that will be needed to implemented specifically. People said that sort of thing about Go too. I suspect you may be an AI.
5v5 DOTA 2 Online Tournament
It is probably close but I would be slightly surprised if they didn’t, barring any majors disrupting events. But unlike chess, there’s exactly one goal. An adult human has tons of experience, including that little something that is called consciousnessand yet, need whopping hours to learn even the basics. Proof is in any paper that deals with infinite time complexity or unsolvable questions, namely the halting problem, godel’s famous incompleteness theorem.
They may additionally require exponentially more memory, which could be an actual preventing factor however time taken is usually a problem first.
Guys, you realize “amateur” means – someone who plays without getting paid, right? Who here even thinks that a well trained neural network is “smarter” than a human?
The level of infinity relates to the impossibility to use brute force to teach itself. On the other hand, I’m dotx interested doa any paper that you have that gives a generic proof on dota’s time complexity being the same as that of any godel statement. A thing you do half of the game in Dota is last hitting and denying your own creeps, something bots are naturally much better at. Not only that, but it’s a high degree of infinity.
Not sure why you’re bringing it up. You know, immediately, what’s going on, where it is, everything visible on the map. The problem with AI with the moment is it’s inability to handle asymmetric information.
I mean it will work one day, but not soon unless there’s a radical new breakthrough. I learned whatever you usually learn, searching algorithms, data mining, neural networks, game theories, modern implementations etc I don’t doubt that humans will eventually fall but I expect the process to take a decade. It’s the same kind of thing that makes it far easier to make a computer play chess with a digital chess board than it is to make one that plays chess on a physical one.
5v5 DOTA 2 Online Tournament
You’re using computational complexity to argue, particularly that of time. It’s the accuracy of generalisation.
The builtin bots have instant reaction speed, they stack disables perfectly and never miss a skill, but nobody considers it an unfair advantage because Dota 2 is first and foremost a game of strategy.
I assume that a lot dlta it’s strength is simply in reaction time. It cannot learn all the “cheeses” itself when unregulated.