There's got to be a better way!
Read OriginalThe article critiques the inefficiency of Reformist Reinforcement Learning (RL), particularly policy gradient methods, arguing they are theoretically and practically slow. It proposes exploring alternative computational paradigms, like certainty equivalence, for more efficient optimization in machine learning.
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