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Free exploration in multi-armed bandits can lead to sharp phase transitions in accumulated regret, offering significant savings compared to standard regret minimization.
RLVR's reasoning gains hinge on high-entropy tokens, revealing a critical inefficiency in uniform reward broadcast that EAPO effectively addresses.
