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I Learned to Play Minecraft, and it's actually Pretty Good Chess Go, Chess, and now-Minecraft. Artificial intelligence models have added another win to their gaming kill list. - Off - English With the mix of unlabeled Minecraft videos and a small set of those which were labeled by contractors intelligence company OpenAI was able to train an artificial neural network to successfully play Minecraft. This is a major milestone for the technology, which was previously struggling to master the game's simple, but tense gameplay. Open AI engineers shared their research paper and a subsequent blog post this week. The model of OpenAI could be more than just basic survival and crafting. It was able to perform many of the same complex tasks as human Minecraft player. OpenAI released a video that shows its model swimming, hunting and cooking animals. It even successfully figured out the game's "pillar jumping" technique. Xajwm's blog In the past, Deepmind was able to successfully make its MuZero AI play Atari games. Previous AI models have famously relied on various forms of reinforcement learning in the past to beat classic games such as Chess and Go. The only way to get smarter is by playing a smarter opponent The only way to get smarter is by playing a smarter opponent Minecraft, on the other side is a game that can be easily understood by children, but presents a challenge for AI systems due its open-world and open-ended structure. There are a lot of videos on the internet about Minecraft gameplay. However, those videos only tell part of the story of how an AI learns to play the game. OpenAI claims that the unlabeled video data does a good job of showing "what" but doesn't give precise key presses or mouse moments necessary for an AI understanding "how" to play. The engineers have solved this "how" problem by creating an imitation learning technique that is semi-supervised they call "Video PreTraining," or VPT. OpenAI basically gathered a new, smaller dataset of contractors that contained not only Minecraft gameplay, but also instances of key presses and other actions recorded by contractors. OpenAI then developed a second model that relies on the videos of contractors to predict what actions will come next in each step of the Minecraft video. Armed with the fundamental knowledge, their AI was then able to successfully understand large amounts of Minecraft videos on the internet. Instead of just throwing a lot of data on their AIs, engineers were able to teach them the fundamentals of inputs. "For many tasks our models exhibit human level performance and we are the first to report computer programs that create diamond tools, which could take proficient humans upwards of 20 minutes (24,000 environment actions) of gaming to complete," OpenAI worte in their research paper describing the findings. All that training and support for contractors reportedly resulted in a price tag of about $160,000. Most of that cash, according to ZDNet, went to paying contractors who assembled around 4,500 hours of game play. The average hourly rate for contractors was around $20. There is footage of the AI cutting wood, managing its inventory, and scouring caves for yourself below. If watching an AI that's worth the annual salaries of surgeons playing an 11-year-old indie game doesn't seem all that impressive It's worth taking a step back and seeing how far technology has made. Three years ago, the MineRL competition set teams of technologists the challenge of developing an AI capable of mining diamonds in Minecraft. The challenge was contested by 660 contestants, with all of them failing. OpenAI's model can now craft diamond tools. OpenAI isn't the only tech company turning to Minecraft for its AI experiments. Last month, during its Build conference, Microsoft revealed a new AI Minecraft "agent" that is part of the game. Players who interact with Microsoft Minecraft agents can type in commands that are then auto-generated using the game's API software. Wired notes that this means that players can type phrases like "come here" into the Minecraft bot and it will translate it into Minecraft code. The bot then proceeds to move forward. Aside from just walking through the streets, Microsoft's Minecraft agent is also able to complete more complex tasks like retrieving items from the game world, and combining them to create something. And look, it will probably be able to do this better and faster than this writer, who's many years removed from his last Minecraft session.
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