Leap in AI development. Poles break impasse in reinforcement learning (RL)
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A team of computer scientists involving two Poles has found a way to leapfrog the depth of neural networks - from a few to as many as a thousand layers - in AI models of reinforcement learning (RL). The work of the computer scientists - including two Poles - was awarded at the prestigious NeurIPS scientific conference on AI.
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