Paper: RL Does Not Always Teach Models the Most Effective Reasoning Strategies
Jeande_d · x · 2026-08-26
A new paper investigates whether reinforcement learning (RL) teaches models the most effective reasoning strategies. The findings indicate that while RL-trained reasoning models often outperform instruct models in accuracy, the strategies they learn are not always the ones most associated with correctness. High accuracy may mask inefficient reasoning paths within the trace.
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