CHINA AI "NOAH'S ARC" KILL 'MELICAN MINECRAFT
To challenge research teams working on reinforcement learning techniques, the Neural Information Processing Systems (NeurIPS) annual conference introduced the MineRL competition, a contest in which different algorithms are tested on the same task in Minecraft, the renowned computer game developed by Mojang Studios. More specifically, contestants are asked to create algorithms that will need to obtain a diamond from raw pixels in the Minecraft game.
The algorithms can only be trained for four days and on 8,000,000 samples created by the MineRL simulator, using a single GPU machine. In addition to the training dataset, participants are also provided with a large collection of human demonstrations (i.e., video frames in which the task is solved by human players).
A team of researchers at Huawei Noah's Ark Lab, Tianjin University and Tsinghua University won the NeurIPS- MineRL 2020 competition. Using a sample-efficient hierarchical artificial intelligence (AI) tool called SEIHAI, the researchers were able to outperform all other algorithms participating in the contest.
"We present SEIHAI, a sample-efficient hierarchical AI that fully takes advantage of the human demonstrations and the task structure," Hangyu Mao and his colleagues wrote in a paper outlining their AI, which was pre-published on arXiv. "Specifically, we split the task into several sequentially dependent subtasks and train a suitable agent for each subtask using reinforcement learning and imitation learning."
To obtain a diamond in Minecraft, players need to follow a series of steps. …
https://minerl.io/
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