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Reinforcement learning

Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.

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Total Publications
Lifetime
28,624
Prior Five Years
14,355
Total Citations
Lifetime
324,879
Prior Five Years
153,707
Total Scholars
Lifetime
36,305
Prior Five Years
33,842

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