Domingos Cites New Result Claiming RL Is 'Basically Useless' vs Supervised Learning
pmddomingos · x · 2026-10-23
Pedro Domingos amplified svlevine's finding and declared 'yet more evidence that reinforcement learning is basically useless.'
The cited work shows that simply extracting policies via supervised learning conditioned on the advantage achieves state-of-the-art RL results when a few key details are handled right—a direct challenge to classic RL paradigms.
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