Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...
The battle at OpenAI was possibly due to a massive breakthrough dubbed Q* (Q-learning). Q* is a precursor to AGI. What Q* might have done is bridged a big gap between Q-learning and pre-determined ...
Currently, Gracie Nguyen ’27 (quantitative economics, computer science) and Thao Nguyen ’27 (quantitative economics, data ...
Machine learning has only realized a small fraction of its potential—and this field is poised for exponential growth in the years to come. Francois Chollet needs no introduction for most of the ...
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