RESEARCH

Reinforcement Learning Towards Broadly and Persistently Beneficial Models

ArXiv cs.AI · Wed, 24 Jun 2026 04:00:00 GMT

arXiv:2606.24014v1 Announce Type: new Abstract: As AI systems are deployed across increasingly diverse and high-stakes settings, model alignment must generalize beyond the tasks and domains seen during training. This is especially important for reinforcement learning (RL), which

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