Researchers from DeepMind, the UK’s juggernaut AI lab, have forsaken the noble games of chess and Go for a more plebeian delight: football. The Google sister company yesterday published a research paper and accompanying blog post detailing its new neural probabilistic motor primitives (NPMP) — a method by which artificial intelligence agents can learn to operate physical bodies. Per the blog post: An NPMP is a general-purpose motor control module that translates short-horizon motor intentions to low-level control signals, and it’s trained offline or via RL by imitating motion capture (MoCap) data, recorded with trackers on humans or animals performing…
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