Must an AI model use reinforcement learning to reason?
No. Models can develop useful problem-solving behavior through several routes, including pre-training, supervised examples, and external tools. Reinforcement learning is one possible contribution.
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More FAQs in What role does reinforcement learning play in developing AI reasoning abilities?
Some problems in these domains have answers that can be checked automatically. Those checks provide useful feedback, although incomplete tests and flawed verifiers remain possible.
Reward hacking occurs when a model earns a favorable training signal through a shortcut or evaluator weakness instead of accomplishing the intended task correctly.
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