most citedToo Good to be Bad: On the Failure of LLMs to Role-Play Villains

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cs.LG2025

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Zijing Zhang, Ziyang Chen, Mingxiao Li +2

The development of autonomous agents for complex, long-horizon tasks is a central goal in AI. However, dominant training paradigms face a critical limitation: reinforcement learnin…