DeepMind and Blizzard to release StarCraft II as an AI research environment
51–60 of 344 posts
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#52Earlier quoted context omitted.
Is it harder to make an AI that is mediocre at playing the game vs one that is good? That is the main issue with making good AIs for games now. We want AIs (if you can call them that) that play kinda like humans but worse then the player as the player wants to win. Making an AI for game isn't about making a good AI. It is about making an AI that loses in a convincing manner. This is especially try for games like Star…
Having checkpoints along the way as you train your model could be a good way to allow fine-grained level selection. I guess :)
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#53Anybody else sees a problem with training the AI to move troops around a battlefield, with the purpose to exterminate the opponent?
Legends trace the origin of the game to the mythical Chinese emperor Yao (2337–2258 BC), who was said to have had his counselor Shun design it for his unruly son, Danzhu, to favorably influence him.[64] Other theories suggest that the game was derived from Chinese tribal warlords and generals, who used pieces of stone to map out attacking positions.[65][66]
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#54Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#55I suspect this will eventually lead to AI as a service for games. Rather than build a terrible AI that delays a game by months, approaching a company that can build a decent AI initially which gets better overtime would probably be ideal and create better experiences. Im curious if a startup can be built from this.
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#56Earlier quoted context omitted.
Is it harder to make an AI that is mediocre at playing the game vs one that is good? That is the main issue with making good AIs for games now. We want AIs (if you can call them that) that play kinda like humans but worse then the player as the player wants to win. Making an AI for game isn't about making a good AI. It is about making an AI that loses in a convincing manner. This is especially try for games like Star…
Having checkpoints along the way as you train your model could be a good way to allow fine-grained level selection. I guess :)
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#57I suspect this will eventually lead to AI as a service for games. Rather than build a terrible AI that delays a game by months, approaching a company that can build a decent AI initially which gets better overtime would probably be ideal and create better experiences. Im curious if a startup can be built from this.
Is it harder to make an AI that is mediocre at playing the game vs one that is good? That is the main issue with making good AIs for games now. We want AIs (if you can call them that) that play kinda like humans but worse then the player as the player wants to win. Making an AI for game isn't about making a good AI. It is about making an AI that loses in a convincing manner. This is especially try for games like Star…
And a player in the top 20 percent could beat any AI that has ever been created.
AIs are really in an abysmal state for RTSes.
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#58I suspect this will eventually lead to AI as a service for games. Rather than build a terrible AI that delays a game by months, approaching a company that can build a decent AI initially which gets better overtime would probably be ideal and create better experiences. Im curious if a startup can be built from this.
Re: DeepMind and Blizzard to release StarCraft II as an AI research environment
#59I suspect this will eventually lead to AI as a service for games. Rather than build a terrible AI that delays a game by months, approaching a company that can build a decent AI initially which gets better overtime would probably be ideal and create better experiences. Im curious if a startup can be built from this.
AI is terrible in games because it's literally such a hard problem. Thinking like a human, working in a group, overcoming obstacles and reacting to dynamic behaviour from the human player. This is far harder that Go which has 100x simpler rules. Additionally they had a mega ton of training data to feed into the Go model to begin with, which a game won't have as the data structures will all be different under the hood…