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Researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans ...
Reinforcement learning can account for associative and perceptual learning on a visual-decision task
Here we found that these changes can be accounted for using a reinforcement-learning ... quantified this form of associative learning using the lapse rate (errors for high-coherence stimuli ...
In June 2021, scientists at the AI lab DeepMind made a controversial claim. The researchers suggested that we could reach artificial general intelligence (AGI) using one single approach ...
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