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Minecraft diamond challenge leaves AI creators stumped By Sam Shead Technology reporter
12 December 2019
Most Minecraft players can find the key diamonds in minutes. However, it is much more difficult to develop artificial intelligence to perform this task.
Microsoft, a Minecraft publisher and other companies pushed coders to design AI agents that could locate the sought-after treasures.
The majority of people can complete it in their first attempt.
Of the 660 entries, not one of them was up to the task.
The results of the MineRL - which is pronounced mineral-related competition is scheduled to be announced formally on Saturday at the NeurIPS AI conference in Vancouver, Canada.
The goal was to determine if the problem could be solved with a minimum of computing power.
Despite the lack of an award One of the organisers stated that she was "hugely impressed" by the participants.
"The task we posed is extremely difficult," said Katja Hofmann, a principal researcher at Microsoft Research. "Finding diamonds in Minecraft involves a number of steps - from cutting trees, making tools, to exploring caves and actually finding a diamond.
"While no submitted agent is able to solve the task completely however, they have made significant progress and have learned how to use various tools that are needed."
Mining diamonds
Minecraft has grown in popularity since it was released in 2011.
The open-world game has been downloaded more than 180 million times. the game is played by more than 112 million people every month.
Diamond is a crucial resource in Minecraft. It can be used to make powerful weapons and armour.
To get the precious stone However, the player must go through a few other steps.
Jules Portelly, a Minecraft player, stated that it shouldn't take more than 20 minutes to collect your first diamonds if you're comfortable with the game.
Entrants were only allowed to make use of a single graphics processing unit (GPU) and four days of training time. For context, AI systems usually need months or years of game time to master games like StarCraft II.
A small Minecraft dataset, comprising 60 million frames of human player data, was also made available to entrants to help them train their systems.
"At the start of every episode they spawned in a procedurally-generated Minecraft world," explained Dr Hofmann.
"So they had to learn the concept about finding resources, making tools and finding a treasure."
Minecraft to run artificial intelligence tests
DeepMind AI earns Grandmaster status at Starcraft 2
AI assistant to assist Minecraft players
The goal was to have coders create programs that could be learned by imitation, a technique called "imitation learning".
This involves trying to convince AI agents to adopt the most efficient method by getting them to mimic the way humans or other software perform to solve a problem.
Xajwm's blog
This is in contrast to "reinforcement learning", where agents are trained to find the best solution by trial and error.
AI for all
Researchers have found that reinforcement learning on its own can lead to better results.
DeepMind's AlphaGo Zero program, for instance, beat an earlier effort by the research center that utilized reinforcement learning and the analysis of data labelled from human behavior to learn the game of Go.
However, this "pure" approach typically requires a lot more computing power, which makes it too expensive for researchers who are not large corporations or governments.
William Guss, the main organizer of the competition and a PhD student at Carnegie Mellon University, told the BBC that the point of the contest was to show that "throwing massive computing at problems isn't the right way for us to push the state of the art in a field".
He said, "It works against democratising access these reinforcement learning system, and leaves the ability for agents to learn in complex environments to companies that have swathes to compute."
However, the final outcome could highlight the advantages these well-funded entities have.
Minecraft graphics to appear more real
19 August 2019
Minecraft player loses five years of game
29 April 2019
Homepage: https://xsjwm.com/
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