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Reinforcement learning is often a machine learning model that could be broadly called “study by carrying out.” An “agent” learns to perform a defined task by trial and error (a feed-back loop) right up until its overall performance is inside of a desirable array.Such a intelligence is much more on the level of human intellect, as AGI method