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Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning
Credit assignment is a central challenge in reinforcement learning (RL). Classical actor-critic methods address this challenge through fine-grained advantage estimation based on a learned value function. However, learned value models are often avoided in modern large language model (LLM) RL because
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